Data-Gouv-ML/pcri-actions-marie-curie-participations-et-projets-laureats huggingface dataset:
Projet VERMOUTH (Horizon Europe, appel à projets 2021)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Physics
Statut du projet : CLOSED

The recent technological and experimental advances in the field of quantum simulation and computation have led to the renaissance of the study of the dynamics of complex quantum systems. Different interdisciplinary approaches, merging concepts from condensed matter, high energy physics and quantum information, have emphasised the existence of constraints given by quantum mechanics on the time evolution of correlations and the transport properties. The purpose of this proposal is to tackle several outstanding issues at the intersection of these fields from the perspective of standard quantum statistical mechanics. The project integrates the Applicant's expertise in quantum many-body dynamics with the Host broad experience in statistical mechanics, taking full advantage of the unique multidisciplinary environment provided by the hosting institution. The research will be carried out in the perfectly suited environment of the Statistical Physics group at the Laboratoire de Physique de l'Ecole Normale Superieure with Prof. J. Kurchan.

Mots clés : quantum chaos, quantum information, scrambling, quantum lyapunov exponents, syk model, planckian bounds

Participants :
- Centre national de la recherche scientifique (France) — Coordinator, beneficiary, Recherche, subvention : 195914.88 €
- Université Stanford (Etats-Unis) — Partner, associated partner, Enseignement supérieur ou secondaire, subvention : 0.0 €
- École normale supérieure PSL (France) — Partner, associated partner, Enseignement supérieur ou secondaire, subvention : 0.0 €
Projet TechSOLSTOR (Horizon Europe, appel à projets 2023)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Information Science and Engineering
Statut du projet : SIGNED

The project introduces an innovative approach to enhance solar energy systems by integrating solar collectors with energy storage technology. The goal is to address some of the existing challenges in energy storage, such as maintaining consistent material quality over time and ensuring even heat distribution. In addition to resolving these issues, the system aims to store solar energy more efficiently and at a lower cost, potentially giving solar thermal systems a new competitive advantage for various applications. At the core of this new design is a mechanism that captures and stores solar energy, enabling it to be released when needed through a controlled process. The project aims to establish a strong foundation of research in this area, working on the theoretical, design, and economic aspects of the technology. By developing and testing this advanced solar energy system, the project hopes to create a highly efficient solution that could be adapted for different temperature ranges and a wide array of future applications.

Mots clés : thermochemical energy storage, solar energy, parabolic trough collector, chemical reactions endothermic and exothermic processes

Participants :
- Université de technologie d'Eindhoven (Pays-Bas) — Partner, associated partner, Enseignement supérieur ou secondaire, subvention : 0.0 €
- Université technique du Danemark (Danemark) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 230774.4 €
Projet IDP Assembly (Horizon Europe, appel à projets 2022)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Life Sciences
Statut du projet : SIGNED

Protein aggregation hallmarks several neurodegenerative diseases, including Alzheimer's and Parkinson's. In Parkinson's, aggregation of the intrinsically disordered protein (IDP) alpha-synuclein (αSyn) leads to its intracellular deposition into Lewy bodies, which causes neuronal dysfunction. Recently it was discovered that αSyn can undergo liquid-liquid phase separation (LLPS), whereby a protein solution spontaneously separates into a dense and a dilute phase. This process is initially reversible, but the high concentrations of the dense phase strongly favor the aggregation of αSyn into amyloid fibrils. Structural characterization of the transient αSyn conformations during LLPS and amyloid formation is therefore crucial for understanding the disease pathology on the molecular level. This project aims to develop a novel experimental concept for the high-resolution conformational analysis of αSyn assembly and aggregation using scanning mutagenesis combined with cutting-edge high-throughput biophysical techniques and computational analysis. The core idea is to apply multiple biophysical assays to quantify the effects of hundreds of αSyn mutations on the kinetics and thermodynamics of LLPS and amyloid formation. The resulting multidimensional experimental datasets will be processed within the phi-value analysis framework originally derived for protein folding and combined with molecular dynamics simulations. The integrated methodology will allow gaining important structural and mechanistic insights into the early-aggregation events of αSyn at a single amino acid level of resolution. The project includes extensive training to enhance my scientific skills in modern experimental and computational methods. The proposed strategy is widely applicable to other IDP systems that can undergo LLPS and aggregation and paves the way for the design of rational and precisely tailored intervention strategies against the diseases associated with these phenomena.

Mots clés : amyloid, synuclein, phase separation, fibril, phi value analysis, thermodynamics, kinetics, intrinsically disordered proteins, aggregation, self assembly

Participants :
- Université technique du Danemark (Danemark) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 214934.4 €
Projet WaBioNaPhy (Horizon Europe, appel à projets 2022)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Environment and Geosciences
Statut du projet : SIGNED

In the Mediterranean areas, Citrus is an important agricultural crop, with about a production of 10 million tons/year. Citrus production is seriously threatened by Phytophthora diseases. Chemicals are widly used to control Phytophthora diseases. However, due to their negative impacts on environment, humans and the development of resistant races, there is an urgent need for biological alternatives. WaBioNaPhy aims to formulate new biofungicides (bio-AlgNPs), which combine agriculture waste -nanotechnology, essential oils (EOs) and fungal metabolites to protect Citrus from Phytophthoras. In the current project, the biomass of agricultural wastes will be used as resources for the extraction of EOs. Different extraction methods will be optimized for EOs yield and chemical traits. Alginate nanoparticles (AlgNPs) charged with EOs and fungal metabolites will be produced and tested for Phytophthoras control in in vitro and in vivo assays. The Environmental and health impacts of the Bio-AlgNPs will be analysed. SLU ( secondment period) will participate in the implement of the proposal. WaBioNaPhy will have a great scientific, economic and social impact. The proposal fits with the European policy for reducing net greenhouse gas emissions by at least 55% by 2030. It will impact the well-being and health of citizens by providing healthy food and soil, which are benefits improved by the European Green Deal. The proposal perfectly fits in UN Sustainable Development Goals: Goal 3 (Good Health and Well-being), Goal 12 (Responsible Consumption and Production), Goal 15 (Protect, restore and promote sustainable use of terrestrial ecosystems, sustainably manage forests, combat desertification, and halt and reverse land degradation and halt biodiversity loss).

Mots clés : phytophthoras, agriculture wastes, essential oils, biofungicides, nanobiotechnology

Participants :
- Université suédoise des sciences agricoles (Suède) — Partner, associated partner, Enseignement supérieur ou secondaire, subvention : 0.0 €
- University of Tuscia (Italie) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 172750.08 €
Projet S3EM (Horizon Europe, appel à projets 2023)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Information Science and Engineering
Statut du projet : SIGNED

To achieve the EU's green transition goal, Building-integrated photovoltaics (BIPV) is widely adopted. However, the efficiency of most BIPV systems is limited as they primarily utilize the rooftop space of buildings. Using both the rooftop and facade surfaces of buildings can improve the surface utilization of BIPV systems, but it also poses new challenges, including the heterogeneity and incompleteness of sensor data for semantic 3D reconstruction of buildings, various unstable factors affecting BIPV design and layout, and the necessity to coordinate and integrate BIPV systems with other energy systems. This project aims to develop a Semantic 3D Energy Model (S3EM) for BIPV systems, which leverages multi-modal data to construct accurate 3D representations of solar radiation and electrical potential across building surfaces, enabling the optimal placement of BIPV components and their smooth integration with other energy systems. To achieve the research goal, this project proposes three work packages, including:1) Constructing high-precision and complete 3D semantic models of buildings by leveraging the complementarity of multi-modal data, 2) Optimizing the design and placement of BIPV components on building surfaces by considering multiple factors, 3) Integration and coordination of BIPV systems with other energy systems using multi-agent reinforcement learning methods. S3EM specifies the resources needed for this project, including the quality and capacity of the host, mentors, data, and experimental facilities. This project will enhance the scientific skills and innovation capability, expand research horizons, and establish research collaborations of the applicant. A two-way knowledge transfer approach in energy big data, building modeling and energy system analysis is proposed to ensure benefits between the applicant and the host. S3EM will make a significant contribution to the state of the art in renewable energy production forecasting and the EU climate goals.


Participants :
- Université technique du Danemark (Danemark) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 214934.4 €
Projet GTSP (Horizon Europe, appel à projets 2022)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Mathematics
Statut du projet : SIGNED

This interdisciplinary project brings together innovative ideas and techniques from algebraic geometry and complex analytic geometry, singularity theory, commutative algebra and topology. Given two complex analytic varieties X and X' that are part of an analytic family in a complex affine space we will study the relationships between the different similarities X and X' might share. Such similarities can be of geometric and topological nature.The synonym for similarity we will use here is equisingularity. We say X and X' are topologically equisingular if there is a homeomorphism between X and X' that extends to an ambient homomorphism that trivializes the entire family; we say that X and X' are geometrically equisingular if X and X' have similar resolution of singularities, or if a resolution of the entire family induces a resolution of each fiber. Understanding the topology of either X or X' usually involves a continuous deformation of either one of them to a smooth variety, the existence of which is guaranteed under a special smoothability hypothesis. A stronger version of topological equisingularity, called Lipschitz equisingularity, asks for a homeomorphism between X and X' that satisfies the Lipschitz inequality. The ultimate goal of the project is to gain insight in the relationships between topological (Lipschitz) and geometric equisingularity and develop an approach to study the topology of singularities that are not necessarily smoothable without imposing special dimension (or codimension) assumptions as was done previously.

Mots clés : singularities, equisingularity theory, resolution of singularities, multiplicities, integral closure, lipschitz geometry

Participants :
- Centre national de la recherche scientifique (France) — Coordinator, beneficiary, Recherche, subvention : 195914.88 €
- Université Paris Cité (France) — Partner, associated partner, Enseignement supérieur ou secondaire, subvention : 0.0 €
Projet RNA-Diffusion (Horizon Europe, appel à projets 2023)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Physics
Statut du projet : SIGNED

Ribonucleic Acids (RNAs) are crucial polymers in biology: RNAs might be the key to understanding the origins of life and are extremely promising therapeutic tools. Just like proteins, RNAs numerous properties stem from their 3-dimensional structure, which itself arises from their nucleotide sequence. However, RNA molecules are particularly dynamical, making their structure noticeably difficult to study, both experimentally and theoretically. Moreover, RNA dynamics are critical for biological function. Recently, deep learning (DL) methods have revolutionised computational biophysics by mastering the task of protein native structure prediction from sequence. Comparable success can be hoped for RNA, but it is impaired by the less abundant data and the lack of direct transferability of current methods. More importantly, no attempt has been made at developing a DL approach to directly predict RNA dynamics. In this proposal we aim to adapt the emergent framework of diffusion models to the task of one-shot sampling of RNA conformational ensembles. Diffusion models constitute a new paradigm in generative machine learning (ML) that has attained astounding successes in conditional image generation, audio, graph and geometric shape synthesis. Our goal is to produce a neural network-based software which, given an arbitrary input sequence, efficiently samples the 3D coordinates of RNA conformations according to their equilibrium probabilities. To do so we suggest an original approach combining (1) coarse-grained internal coordinates, (2) a diffusion-based generative framework, (3) an attention-based architecture inspired by state-of-the-art DL biomolecular approaches and (4) a mixed training procedure based on experimental fragments and molecular dynamics simulations. Our approach could be used as a replacement to extensive MD simulations which are voracious both in human time and energy expense, hence accelerating biophysical research and decreasing its carbon footprint.

Mots clés : rna dynamics diffusion model deep learning score based generative modelling coarse graining molecular dynamics

Participants :
- École internationale supérieure d'études avancées (Italie) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 172750.08 €
Projet CAMELLIA (Horizon Europe, appel à projets 2021)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Chemistry
Statut du projet : CLOSED

The aim of project CAMELLIA (ComputAtional Mapping of ELectrocataLytic InterfAces) is to derive fundamental insights, predict and design electrocatalytic properties (activity, selectivity, stability) of nanoparticles with realistic sizes, under operando conditions. To achieve this goal, a computational approach, based on electronic structure methods – Density Functional Theory calculations – in conjunction with newly developed Artificial Neural Network-trained interatomic potentials, is used. Coverage- , solvent-, and potential-cognizant static and molecular dynamics simulations are employed to develop a methodology for the construction of an open-source computational database, collecting properties of electrocatalytically active interfaces, under relevant experimental conditions. These insights will be used to i. elucidate the in-situ nature of electrocatalyst active sites, in the context of technologically-relevant chemical reactions; ii. bridge the gap between experimental and computational methods in addressing key processes hindering the development of active and stable electrocatalytic materials for successful deployment of fuel cells technology; iii. go beyond state-of-the-art computational models based on well-defined extended surfaces, towards realistic simulations of synthesized nanoparticles, in a complex electrochemical environment.

Mots clés : electrocatalysis, density functional theory, orr, hor, methods development, accelerated molecular dynamics, database

Participants :
- Université technique du Danemark (Danemark) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 214934.4 €
Projet TOR-TREKking (Horizon Europe, appel à projets 2024)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Life Sciences
Statut du projet : SIGNED

Neurological disorders, such as epilepsy and autism, affect millions of people worldwide with the underlying causes ranging from genetic mutations to developmental issues. Treatment options vary widely from anti-epileptic drugs to more severe approaches such as surgical interventions, underscoring the need to understand the underlying causes for developing effective treatment strategies. Among these neurological disorders are mTORopathies, a group of genetic diseases characterized by the dysregulation of the mechanistic Target Of Rapamycin (mTOR) signaling pathway. The most common mTORopathy, Tuberous Sclerosis Complex (TSC), leads to significant health challenges resulting in a reduced life expectancy of 10-20 years for affected newborns. Despite crucial progress in understanding mTOR dysregulation, the precise mechanisms by which it causes neurological hyperexcitability remain unclear, and current treatments present important limitations. This project aims to unravel the molecular mechanisms driving mTORopathies and to develop targeted therapeutic interventions. The first comprehensive study of phosphorylation landscape in TSC brain in the host laboratory has identified TREK1 potassium channel as a novel target, potentially playing a critical role in the development of epileptic seizures. Using a range of multidisciplinary approaches, from molecular and cell biology techniques to neurological analyses, I aim to gain invaluable insights into the molecular mechanisms underlying mTORopathies. Furthermore, by generating mouse models with modulated TREK1 activity, I aim to identify novel therapeutic strategies to counteract TSC. Understanding the molecular program underlying these diseases is essential to develop targeted therapies that improve patient outcomes. This research can significantly enhance our understanding of neurological disorders and contribute to more effective treatments, ultimately leading to improved outcomes and better quality of life for patients.

Mots clés : mtor, growth, seizures, trek1, neuronal excitability

Participants :
- Université Paris Cité (France) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 226420.56 €
Projet PHANTOM (Horizon Europe, appel à projets 2024)
Action : Postdoctoral Fellowships - Global Fellowships
Panel : Social Sciences and Humanities
Statut du projet : SIGNED

Herring have been a crucial resource for human communities across the northern hemisphere for time immemorial. In addition to providing cultural and nutritional benefits, these forage fish are a keystone species in their environments, providing myriad ecosystem services including acting as prey for many predators (bears, salmon, seabirds, fish, whales, pinnipeds, etc). In the 20th and 21st centuries, herring populations suffered commercial collapses, culminating in a wave of fisheries closures across the Atlantic and Pacific. The drivers behind these collapses are still debated, with some researchers arguing climate change is to blame and others concluding overfishing caused the population declines. PHANTOM will bring together an interdisciplinary research team to address the question of historical and recent population declines in Pacific herring (Clupea pallasii) in relation to climatic and anthropogenic forcing. To do this, PHANTOM will employ ancient DNA and genomic analysis in conjunction with local traditional knowledge from Indigenous communities in Alaska and Japan. Demographic modeling will be compared to changing climate and management regimes to assess their impacts on this keystone species. PHANTOM will train early-career researcher Lane Atmore in Indigenous- centered research and the development of genetic tools for monitoring and fisheries management to complement her existing expertise in historical ecology and genomic analysis. PHANTOM will culminate with the development of genetic tools and policy advice for Pacific herring management that integrates ancient DNA and local traditional knowledge. The Atlantic and Pacific fishing industries are currently facing challenges due to overfishing and rapid ecosystem change; creating more sustainable management regimes is our best defense against climate change and ensuring food security and economic stability for communities that rely on the sea.

Mots clés : ancient dna, historical ecology, local and traditional knowledge, fisheries management, genomics

Participants :
- Université de la Colombie-Britannique (Canada) — Partner, associated partner, Enseignement supérieur ou secondaire, subvention : 0.0 €
- Université technique du Danemark (Danemark) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 368638.08 €
Projet LEAP (Horizon Europe, appel à projets 2021)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Social Sciences and Humanities
Statut du projet : SIGNED

The overarching goal of the project is to define "aesthetic learning" as a complex, multi-layered mental process from an empirically informed philosophical perspective. The research project will rely on (a) the philosophical literature concerning aesthetic values and (b) psychological evidence in cognitive sciences about the acquisition and development of perceptual and affective discriminatory capacities. The outcome of the project will be a model of aesthetic learning capable of exploiting the most recent advancements in the cognitive sciences within a rigorous philosophical framework. By focusing on such basic and uncontroversial components of aesthetic appreciation as perception and emotions, the project will establish viable criteria for the definition of aesthetic values that can be perceptually learnt and for the definition of aesthetic appreciation. Such a model will be submitted to experts in art teaching, made available for experimental testing and introduced to broader audiences. Thanks to the fellowship, the ER will fulfill the career goal of becoming an established researcher in the field of philosophical aesthetics, either with a permanent position or as a PI of a research project in a European university.

Mots clés : aesthetics, appreciation, arts, beauty, perception, emotions, expressiveness

Participants :
- Université de Murcie (Espagne) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 181152.96 €
- University of Piemonte Orientale Amedeo Avogadro (Italie) — Partner, associated partner, Enseignement supérieur ou secondaire, subvention : 0.0 €