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Sunlight is abundant, but figuring out how to efficiently grab that energy and convert it into something useful, like electricity for our homes, is a big puzzle. This research project dives into the world of a special type of molecules call…

The scientific aim of the MSCA-DN BeyondTheEdge is to identify the role of nonpairwise ‘higher-order’ interactions in the emergence of complex dynamical behaviour of networks of interacting units. Traditionally, networks are equated with gr…

Understanding how fluids and heat move through fractured rocks is essential for many subsurface technologies, including geothermal energy production, groundwater management, underground energy storage and environmental remediation. In fract…

For the first 24 months of the project, the project has been implemented in line with the overall objectives. In terms of theoretical advances, we have had new results on the study of tensor spaces (objective 1), including generalized addit…

The aim of the MSCA-DN project CaLiForNIA is to provide a novel interdisciplinary training to a new generation of researchers in the key theoretical areas of Cartan geometry, Lie theory, and representation theory, as well as their quantum c…

Historically, major storms, the associated storm surges and rainfall have posed the biggest threat to life and property around coastlines and along rivers. However, in the age of global warming and accompanying sea level rise the confluence…

Important aspects of the dynamics of complex systems ranging from the Earth’s climate to the cell cycle can be mathematically modeled using ordinary differential equations. However, direct analysis or numerical simulation is rarely possible…

Turbulence is one of the most important mechanisms that govern our environment, affecting air travel, prediction of ocean surface and weather forecasting. As put in relevance by the 2021 Nobel prize to Giorgio Parisi, approximate theoretica…

Mercury (Hg) is a toxic heavy metal that bioaccumulates in aquatic food chains, endangering human health through the consumption of seafood. The atmospheric chemistry of Hg determines how far it can be transported and where it will ultimate…

Experimental evidence indicates that fluid filtration through unsaturated porous media exhibits a hysteretic behavior, originating at a microscopic level from surface tension at the point of contact between water and air in the pores. As a…

Computation is a central aspect of our lives. Even when we are not consciously aware of it, we are often manipulating information to produce new information by applying a set of formal rules.

The security of data has never been more valuable. Today, cryptography is critical to the safe operation of digital infrastructures.

PorMatDesign set out to develop a computationally feasible framework for the multi-scale design and optimization of porous materials, whose microscopic structure determines their overall mechanical and hydraulic performance. Such materials…

This project aims to develop an automatic and reproducible analysis tool for magnetic resonance imaging (MRI) images based on machine learning and deep learning techniques, with the goal of extracting clinically relevant metrics to improve…

In this project, we study groups called braid groups. Suppose we have a disc, and we fix n points in that disc, where n is some whole number.

The project was dedicated to two families of geometric invariants, ubiquitous in different areas of theoretical mathematics, as well as computer science, and the physics of quantum computations. These are called systoles and diastoles.

The project addressed the urgent need for more energy-efficient cooling technologies, which are critical for a sustainable and climate-neutral society. Modern industries such as electronics, renewable energy, and transportation face increas…

Human skeletal remains can offer key information on diverse aspects of past life but, like all archaeological materials, they only give a glimpse into the life of past individuals; hence, a fragmented perspective into our ancestors’ lives.…

This project concerns research on the boundary between analysis, logic and combinatorics, more specifically, investigates problems in descriptive set theory and their interactions with measure theory, dynamical systems, computer science and…

Mutualistic interactions – where both species benefit – lie at the core of many human-relevant microbial communities, such as polymicrobial infections, the human-, plant-, and animal-associated beneficial microbiomes, and synthetic microbia…

The THANAFSI project investigates fluid–structure interaction problems that arise in physical situations where fluids and solids mutually influence each other’s behavior, both in static and dynamic configurations. Understanding these intera…

The development of advanced, energy-efficient, and miniaturized electronic devices is driving the need for new materials and innovative engineering solutions. Among these, two-dimensional (2D) materials, such as graphene and hexagonal boron…

Photovoltaics is today a major pillar for a sustainable and clean electricity generation and contributes significantly to the reduction of carbon dioxide emission. The current technology is based on inorganic semiconductors, mainly crystall…

The project TOKMAT aims to use the mathematical school of intuitionism in order to shed light on how society and science interact. The project focuses on the cultural, personal, and social dimensions of mathematical knowledge in order to be…

Weyl semimetals are a recently-discovered class of materials, which have various unusual properties. For example, they conduct electricity in a manner different from ordinary metals, which may make them useful for building novel electronic…

Europe is facing an unprecedented climate emergency: the record-breaking heatwaves of 2022 caused over 12,000 deaths and the worst drought on the continent in 500 years. A major driver of this crisis is the construction and transportation s…

This is a project in (pure) Mathematics, intimately tied with theoretical/mathematical Physics. The main goal is to generalize previous constructions in complex-algebraic Poisson geometry, representation theory, and low-dimensional topology…

The DefHyp project aimed to explore the deformation theory of infinite-type hyperbolic 3-manifolds, building on the researcher's pioneering work in this emerging area of geometry and topology. The main research objectives, as outlined in An…

Quantum Field Theory (QFT) is the universal framework describing the fundamental interactions of nature. It provides the theoretical foundation for both the Standard Model of particle physics and for the study of critical phenomena in conde…

The GECKO project aims to bridge the gap between Computer-Aided Design (CAD) and Computer-Aided Engineering (CAE) by integrating computational models into industrial workflows. Traditional CAE modeling is slow and error-prone in its preproc…

NOVITAS addressed the need for accurate, efficient and physically reliable numerical tools for the virtual design of ultra-thin deployable composite space structures, with particular focus on deployable booms, TRAC longerons, membranes and…

In a world driven by technological advances, the "SPEEDY" project aims to deepen the understanding of three-dimensional nanomagnetic systems. These systems, with novel and unconventional spin textures, are an exciting platform to explore ne…

CaLIGOLA aims to cross-fertilize with ideas coming from Lie Theory, Integrable Systems and Quantum Groups, multidisciplinary fields, like quantum computing, vision algorithms and machine learning, which need a rigorous mathematical approach…

The celebrated detection of gravitational waves (GWs), the first observation of horizon scale structure of a black hole (BH) together with the developments in the field of numerical relativity, are allowing access to extreme (strong and dyn…

In the last decades, the field of complex dynamical systems has established itself not merely as a stand-alone subject, but as a source of deeply influential examples and paradigms for many other areas of mathematics, including topology, co…

The aim of the present research proposal is to study the influence of stack pressure on the degradation of Na-based solid-state batteries (i.e. dendritic growth) by coupling the electrochemical in-plane cell operation to on-line optical/ele…

Structural biology is being revolutionized by deep learning-based methods that produce high-quality protein structure models. However, current state-of-the-art prediction methods have a key limitation: they generate only static conformation…

Urban air pollution poses a significant threat to public health and the environment, with the majority of Europe's urban population exposed to pollutant levels exceeding the World Health Organization's guidelines. Human activities, particul…

The ModConFlex (Modelling and Control of Flexible Structures Interacting with Fluids) project is centered around two main fields of application. The research provides theoretical foundations in two areas that can contribute to reach the Eur…

Coastal zones are vital socio-ecological systems, supporting biodiversity, economic activities, and the livelihoods of millions of people. Yet, they are increasingly threatened by climate change, coastal erosion, sea-level rise, and human-i…

Cells in the body communicate by exchanging RNA that is associated with extracellular vesicles (EV-RNA). Therefore, analysis of EV-RNA may provide disease biomarkers.

While modern society is heavily dependent on digital technologies, data can be compromised, damaged or disappear due to errors induced by noise, disc failures, untrustworthy servers and malicious cyber-attacks. Transmission and storage of d…

My project aims at proving the usefulness of categorical methods for questions in geometric group theory. Groups are central objects in mathematics: integers form a group under addition, symmetries of an object form a group,...

The rapid evolution of digital technology is shaping a future where self-driving cars, holographic video conferencing, and augmented reality become part of everyday life. However, these advanced applications demand ultra-fast and low-latenc…

The aim of the project is to advance the method of attosecond extreme ultra-violet (XUV) transient reflectivity spectroscopy (XTRS) beyond its current state of the art with the aim to better understand ultrafast electron dynamics in solid s…

The OPENSRUM project focuses on the design optimizations in electric vertical takeoff and landing (eVTOL) aircraft, which are actively under development for electrifying urban air mobility (UAM). This project aims to address the growing nee…

The mathematical analysis of collective dynamics has experienced a prominent growth in the last years, leading to new frontiers with cutting-edge fields in physics, biology and social sciences (e.g. complex networks, active matter or crowd…

Treatment resistance in ovarian cancer (OC) is common. Recently, new treatment approaches with the potential to improve OC management have been identified, but their therapeutic efficacy is limited due to treatment resistance.

Coherent Elastic Neutrino-Nucleus Scattering (CEνNS) is a recently demonstrated novel process of neutrino interaction. It provides numerous avenues to advance our sensitivity to new nuclear and particle physics beyond the Standard Model whi…

Solid electrolytes represent a significant advancement in battery technology, primarily due to their potential to address the key challenges faced by liquid electrolytes, such as safety risks associated with flammability, leakage, and therm…

Sand dunes pose a significant risk for offshore activities in coastal areas and for navigation along the most frequented maritime routes. The presence of sand dunes leads to a significant increase of the flow resistance, which needs to be c…

Black holes are elusive celestial objects: they are formed by collapse of heavy stars and are characterized by an event horizon that prevents us from seeing the atoms they are composed of. Black holes are thermodynamic ensembles, and they p…

The "Cosmic Bridge" project addresses the challenges encountered in data analysis within current and upcoming galaxy surveys, aiming to deepen our understanding of the fundamental nature of the universe. Traditional analysis methods focus p…

Two-phase flows are the flows of two immiscible phases separated by an interface such as, for instance, mixtures of air and water or water and oil. They are ubiquitous in nature and central to many engineering applications, with contributio…

Illegal excavation of archaeological sites to collect historical material culture ("looting") is a pressing problem on a global scale with strong consequences on security, economics, and society. Looting is the main source of income for ter…

The project is focused on exploiting longitudinal and heterogeneous patient data in order to detect their relapse. In Multiple Myeloma (MM), detecting relapse remains a difficult task, with about a third of detections evaluated from painful…

Mathematical statistics is a ubiquitous tool in modern data analysis. However, in typical applications, theoretically supported statistical frameworks cannot be used directly - for instance because they lack closed-form solutions or are too…

The THOR project has explored gravity field modeling and the gravimetry problem around asteroids. These celestial bodies have irregular shapes and heterogeneous density distributions that create a very complex gravity field.

The problem being addressed: We study the generalization behaviour of training with SGD on convex as well as non-convex models. Importance for society: Our work does not have any direct consequence on society, however, our works make progre…

Excepting III-N compounds, the III-V and group-IV semiconductors that underpin contemporary optoelectronics crystallise in a cubic structure. Advances in semiconductor growth enable growth of hexagonal phases of these materials, and allow f…

We investigate the algorithmic complexity of mathematical structures and its connection with notions of complexity studied in descriptive set theory. The main subject area of the planned research is computable structure theory — an area of…

Every year, millions of people are threatened by mosquito-borne diseases such as dengue, chikungunya, Zika, and malaria. Thanks to computational advancements, we can now create agent-based computer models with unprecedented biological reali…

Emission of nitrogen oxides (NOx) is an important contributor to air pollution world-wide. The main sources of NOx emissions are power plants and combustion engines.

The overarching aim of the ANTIQUITATES project is to investigate the quantitative empirical practices of the early modern historical disciplines. The case study of ANTIQUITATES regards antiquarian architecture in the Republic of Venice dur…

Modal logics are a family of formal systems based on classical logic that improve its expressive power allowing to reason about modes of truth: epistemic, doxastic, temporal, normative, information updates, etc. Substructural logics are wea…

In the vast labyrinth of scientific inquiry, amidst the intricate networks of neurons firing within the human brain, lies a fundamental challenge: the absence of a comprehensive method to measure neural activity across the entire brain. Thi…

Funded by the Marie Skłodowska-Curie Actions (RISE H2020), the EffectFact project aims to develop advanced factorisation and Wiener-Hopf methods as well as methods for Riemann-Hilbert problems to solve time-dependent boundary value problems…

The EXPOWER project combines a broad spectrum of key research and training activities on Multi-Exponential Analysis with applications in industry, that are currently being undertaken in some premier research institutes. The network is inter…

Networks are a simple but enormously effective model to represent the interaction of a large number of physical, social or economic systems. Nowadays networks are present in all areas of science, technology and society, from biology to econ…

FuSeGC is a research project in pure mathematics, specifically in geometry. Mathematics is an important tool in theoretical physics: It is the language in which physical theories are written, and large parts of modern fundamental physics ar…

CriticalEarth is a research consortium focused on understanding tipping elements (TEs) in the climate system. TEs are components of the climate system that have the potential to undergo abrupt transitions, such as the Atlantic Meridional Ov…

Metazoans typically keep the same genetic information in all body cells over their life cycle. However, some organisms show exceptions to this rule through programmed DNA elimination from the somatic cell line during embryo development, as…

Coral reefs are being threatened worldwide due to ocean warming, acidification, or other sources of local stress such as pollution. This has triggered in many areas the degradation of reefs into algae-dominated seascapes, where coral cover…

The Hyper-Kamiokande (Hyper-K) experiment addresses several significant problems in fundamental physics and our understanding of the universe. One key issue is the need to unravel the mysteries surrounding neutrinos, which are elusive parti…

The project aims at reconstructing Leibniz’s conception of number and his mathematical notion of infinite in light of his mereological theory (i.e. the theory of the parthood relation) of quantity.

The goal of this project is the extension of our knowledge about the structure and statistics of eigenvalues and eigenvectors of random matrices. Random matrix statistics are paradigms for collective behaviours arising when many strongly co…

Induced seismicity refers to earthquakes related to human activity and can be caused by a range of industrial activities involving underground fluid injection operations such as Enhanced Geothermal System (EGS), Carbon Capture and Storage (…

1. What is the problem being addressed?

The aim of the EMPHABIOSYS project is to understand proteins, the molecular machines of life that are key actors in virtually all biochemical processes within the cell. At a biochemical level, proteins are short chain molecules built from a…

1. Aerospace propulsion is intrinsically related to the passage of supersonic flows across a throat.

String theory is one of the leading theory for quantum gravity and unification. As such, it provides a complete description of the fundamental aspects of our Universe.

The TraDE-OPT project aimed to train 15 experts in optimization for data science, equipping them with a strong multidisciplinary background to advance the state of the art. In today's world, data is generated at an unprecedented scale.

Manufacturing is undergoing what many identified as "a fourth industrial revolution": production lines are becoming complex networked systems, equipped with teams of robots that manipulate products and take care of the logistics and shop-fl…

The EU project ``Eagre: high-seas wave-impact modelling'' (project no. 859983) has established numerical wavetanks with which we have analysed the effects of extreme waves and wave-wind-turbine interactions, for deployment in the maritime-e…

The mathematical study of coupled dynamical systems, i.e. systems with multiple components that interact with one another, started with the formulation of Newton’s universal law of gravitation when astronomers and mathematicians addressed t…

The MEPHOS team has designed, developed, and tested novel therapeutic strategies, drug delivery systems, and nanomedicines for the treatment and management of osteoarthritis (OA). Osteoarthritis (OA) is a chronic disease caused by the progr…

Questions related to the fate of singularities in black holes or in cosmological situations are a sign that our current theory of geometry breaks down in such extreme conditions and should be replaced by a more complete, fundamental theory.…

PANGAIA is a network of researchers who are working on laying down the algorithmic foundations of graph pangenomics, a new computational field that aims to renew genome informatics by replacing the notion of linear reference genome with a m…

Angiogenesis is the process leading to the formation of new blood vessels from pre-existing ones. This phenomenon is crucial for health and diseases, such as cancer and ischemia.

This Marie Skłodowska Curie Action (MSCA) titled "Stringy geometry: quantum corrections and the fate of string compactifications from spacetime and the worldsheet" used and developed new geometric and mathematical structures to understand q…

Enteric viruses are a prevalent group of human pathogens with a great clinical and socio-economic impact. Recently, it has been described that in vivo infection by enteric viruses is dependent on the model of multiple infection unit (MIU),…

Prostate cancer (PCa) is a public health burden and a major concern among ageing men worldwide. Although the vast majority of PCa cases are currently detected at an early stage thanks to regular screening, their severity may vary wildly acr…

Accurate prediction of macromolecular structure and function is a key challenge in many fields, from designing new nanomaterials to drug discovery. Nanoparticles, nanochannels, proteins, and other biomolecules are typically charged, and thi…

Advances in the fabrication of ultra-pure low-dimensional materials have led in recent years to the emergence of a new area of research – hydrodynamic electronics. This cutting-edge field investigates how electrons behave like a fluid in ul…

Virtual prototyping is a cornerstone in modern industrial product development cycles, as it is used to accelerate the design process, reduce the cost associated with real prototypes and improve the final product’s performances. The European…

Geometry is everywhere. Using digital technology to automate and facilitate the use of geometric shapes is the focus of GRAPES.

Advances in technology have called for the need to understand large complex networks. All networks in real world can be modeled using a graph or a hypergraph: individual objects are represented using nodes (vertices) while connections among…

The project was aimed at investigating the tradition of the Oxford Calculators with a special focus on their theories of modalities and modal logic. Particular attention was paid to the use, in the Calculators’ tradition, of the concepts of…

NA Due to termination before starting the project no information to report- It turned out that the US gorvernment will not give a visa to the follow due to his nationality. So we have to terminate the project after 17 days .

Over the last 25 years, there has been immense progress in understanding the elusive nature of quantum gravity and black holes by using the so-called holographic principle. This principle states that a theory of quantum gravity in a given r…

The project PETRA aims at improving our understanding about planetary formation and evolution by deciphering the information carried by the magnetic record of billion years old extraterrestrial rocks. The evolution over time of planetary ma…

Multi-agent systems offer a tremendous potential to improve the quality of modern society life. For instance, robotic networks will increase food production, or engage in search and rescue missions.

Sophisticated electronic technologies are increasingly used in mission- and safety-critical systems where electromagnetic interference (EMI) can result in substantial risks to people and the environment. Traditionally, EMI engineering have…

CoSP addresses international collaboration in discrete mathematics and theoretical computer science. Experts from different continents and different domains will work with each other and with students in various stages of their studies.

Tandem repeat proteins (TRPs) exhibit considerable diversity, ranging from simple homorepeats detectable by their lack of sequence complexity to cryptic repeats of up to 40 residues per unit and even entire domains. Typically, repeat protei…

What is the problem/issue being addressed? Conformal quantum field theory (CFT) in low dimensions can be described in a model-independent way using the language of operator algebras.

CRNs are ubiquitous in nature to control signaling, protein synthesis, and homeostasis. CReaNet developed (biocompatible) CRNs with tuneable feedback mechanisms resulting in life-like functions.

The core of the STINTS consortium is a cohort of 13 early-stage researchers (ESRs) and their supervisors that are based in 6 academic and 2 private sector institutions. The wider STINTS network also includes staff from 9 partner organisatio…

Healthcare is entering the digital era: More and more patient data, from the molecular level of genome sequences to the level of image phenotypes and health history, are available in digital form. Exploring this big health data promises to…

FUNGLASS integration in photonic devices and components addresses one of the most crucial challenges in research and innovation which lies in the design and manufacturing of optical components and systems. Among the materials used in photon…

Non-linear optimization problems are present in many real-life applications and in scientific areas such as operations research, control engineering, physics, information processing, economy, biology, etc. However, efficient computational p…

Epigenetics research aims to understand how a single genomic DNA sequence can generate and maintain the extraordinary diversity of cell identities and functions that comprise the adult organism. Modifications of DNA and chromatin and the bi…

3D data is everywhere, from our phones to our cars to our homes. And the market for 3D sensors and displays is booming.

What was the challenge? Previously, prevailing safety standards and assurance methods were tailored to systems featuring human intervention capabilities, rather than autonomous systems equipped with predefined responses.

Understanding human disease often means facing complex challenges that require a holistic approach to problem-solving. Inter-, and trans-disciplinary research is essential in meeting these challenges, as it brings together different perspec…

This EID project aimed to address a number of significant challenges arising from the mathematical modelling, numerical computation and risk management, in the form of valuation adjustments, of financial contracts. Valuation adjustments rep…

The main domains of interest of the BIGMATH project lie in the areas of optimization, statistics, and large-scale linear algebra, which are the most relevant topics for effective machine learning techniques and ability to build good data-dr…

COMETE aims at building a computational framework and a network of competence to extend the applicability of state-of-the-art software tools to industrially relevant multi-phase turbulent flows. The importance and the impact of these type o…

Dynamical systems theory (DST) and its applications is a vast area of research where new knowledge is expected to be discovered. The problem addressed in this project is to study different classes of continuous and discrete dynamical system…

The HOL-DEEP-SENSE project aims at holistic machine perception of human charateristics such as demographic traits (age, gender), emotion, personality and physical and mental conditions. The machine learning methods developed in this project…

What is the problem/issue being addressed? The objective of this project is to understand how vulnerability to suicide emerge during the lifespan.

Partial Differential Equations (PDEs) are among the main tools for an efficient modelling of physical phenomena. Integrable PDEs, exhibiting infinite-dimensional analogues of regular (integrable) behaviour displayed by finite dimensional sy…

CowficieNcy is an applied research project that aims to increase nitrogen use efficiency of dairy cattle, because this is the best strategy to reduce nitrogen pollution from dairy farms. Nitrogen emissions from cows contribute to the powerf…

Scattering Amplitudes: from Geometry to Experiment (SAGEX) was a EU Horizon 2020 Marie Skłodowska-Curie Action (MSCA) Innovative Training Network (ITN), funded from 01 September 2018 to 31 August 2022. The network comprised 8 Beneficiaries…

This project aims to create novel mathematical methods that facilitate a better understanding of the properties of large networks. Large networks appear in many real-life situations such as the network of routers in the Internet, social net…

"In the last decades, both remote and in-situ observations have brought evidence to support the idea that small and medium-size (up to few hundreds of km) asteroids are made of loosely consolidated material, namely ""rubble piles"". The ide…

Although major advances have been made in understanding pertinent molecular and cellular phenomena, an understanding of the mechanistic principles that govern the emergence of an immune response has proven so far to be elusive. Therapeutic…

The ventral occipito-temporal (vOT) association cortex contributes significantly to recognize different types of visual patterns. It is widely accepted that a subset of this circuitry, including the visual word form area (VWFA), becomes tra…

The objective of NoLimit was to provide new databases, procedures, and models for analyzing and better understanding how the Earth evacuates its internal heat (convection) and how convection acts to recycle geochemical heterogeneities. This…

Three dimensional (3D) curved objects are ubiquitous in computational science and engineering problems such as geometry acquisition, fabrication of shapes, virtual/augmented reality and computer aided design, to name a few. Often, only the…

Baltic amber from Northern Europe is an outstanding deposit due to the high diversity of well-preserved inclusions, mostly insects. Although it is one of the richest sources of fossils, science has consistently failed to define its geologic…

Fossil fuel consumption is expected to increase by over 20% over the next 3 decades in order to meet the increasing demand for infrastructure, trade and transportation. Development of engines complying with the forthcoming 2020 emission leg…

Lateral Force Resisting System, in this case reinforced concrete core walls of a 10 story building consists of gravity columns and shear walls, has been analyzed in linear (assuming linear elastic material behavior of concrete) and nonlinea…

THE PROBLEM Robotic walking devices are helpful after stroke to promote gait restoration. At present these devices provide assistance levels not well matched to the person's ability or intention to move.

Geometric modelling, image processing, and shape reconstruction have huge applications in various sectors and greatly impact on EU’s economy, human health, security, entertainment and others. Existing problems such as big data and heavy man…

This research network addresses problems with data that can be interpreted and/or processed via nonlocal relationships. Typical examples include 3D point-cloud data used in several industrial applications, data derived from imaging techniqu…

OptiMACS brought together a world-leading aircraft designer and manufacturer (Airbus), an SME with extensive expertise in multidisciplinary design optimization software (RISC) and two highly ranked universities (University of Nottingham (UN…

MATHROCKS aims at designing and providing efficient and trustable mathematical tools and computational algorithms to be used in subsurface geology. This project is important for society because an accurate description of the Earth’s constit…

Liquid biopsies have been heralded as a game-changer in cancer management, with blood tests offering a minimally invasive, safe, and sensitive alternative or complementary approach for tissue biopsies. Blood represents a rich source of info…

Healthcare performance measurement, performance-based healthcare governance mechanisms and the utilization of healthcare performance intelligence by different end-users are key to today’s healthcare system challenges. Globally, healthcare s…

Simulation alongside theory and experiment is nowadays considered an integral part of scientific discovery. As computation speeds up and new technologies and instruments improve, data generation in all fields of science is rapidly increasin…

Simulation-based engineering, in which traditional research and development, design and production technologies are complemented with computer simulations, has revolutionized the industrial sector. Computer simulations are critical for cont…

Building upon the achievements of the Marie-Curie ITN Mixed-Integer Non-Linear Optimisation (MINO), the goal of MINOA was to train the next generation of highly qualified researchers and managers in applied mathematics, operations research…

At present, the exploitation of the potential of synthetic biology is greatly hindered by our limited ability to predict how production modules, also called synthetic circuits, will behave when implemented in living cells. SynCrop consortiu…