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

19F MRI relies mainly on the use of fluorine-dense perfluorocarbon nanoemulsions. However, poor water solubility, limited stability, droplet heterogeneity, rigorous liver accumulation of the particles, as well as the relatively long fluorine relaxation times often limit their applicability. Fe(III) and Mn(II) have the most advantageous paramagnetic properties to shorten T1 relaxation time of 19F without strong line-broadening T2 effect, deleterious for 19F MRI detection. The combination of these paramagnetic metal ions with small molecular weight ligands containing maximized number of magnetically equivalent fluorine atoms is proposed here to circumvent the problems associated with perfluorocarbon nanoemulsions. We will create complexes that provide high thermodynamic stability and kinetic inertness important for safe biological application, good water solubility, as well as short 19F T1 relaxation time, allowing for fast MRI scans and high signal to noise ratio. A series of open-chain and macrocyclic ligands will be synthetized and their Mn(II) and Fe(III) complexes characterized with respect to their application as 19F MRI agents (water solubility, thermodynamic and kinetic stability, 19F relaxation properties). Structural variations of the ligands will allow for optimizing the 19F-metal distance for optimized relaxation effect. For a proof of concept cell labelling study, we will choose dendritic cells (DC) and T lymphocytes (TL), two cell types frequently used for adoptive cell transfer strategies in oncology. Cytotoxicity and cell labelling capacity of the probes will be assessed and in vitro MRI phantom images will be acquired on cells labelled with the paramagnetic complexes.

Mots clés : 19f mri, mn ii , fe iii , cell labelling and tracking

Participants :
- Centre national de la recherche scientifique (France) — Coordinator, beneficiary, Recherche, subvention : 211754.88 €
Projet DoingDOM (Horizon Europe, appel à projets 2024)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Social Sciences and Humanities
Statut du projet : SIGNED

This project is about paid migrant domestic and care workers (PMDCWers), both women and men, who are people of colour from working-class, minority migrant communities that remain ‘invisible’ in the country where they work and live. Paid migrant domestic and care work (PMDCW) is a crucial labour sector dominated by migrant women and therefore researched predominantly from the perspective of women migrants with backgrounds in minority communities. International migration means employment in this sector is also becoming a possibility for migrant men, which is largely understudied. This project will fill this knowledge gap. It will focus on Sri Lankan women and men engaged in PMDCW, who represent a hidden and understudied though important community of longstanding migrant workers in Europe. While contributing to a non-mainstream perspective on PMDCW, this project will address the risk of stereotyping and oversimplifying the dynamic, diverse and vibrant lived experiences of PMDCWers under the broad labels: ‘minority migrant workers’, ‘low-end workers’, ‘ethnic minorities’ and ‘people of colour’. The project stresses that more research is needed to fully comprehend the spectrum of lived realities experienced by PMDCWers at the intersection of gender, class, race, nationality, religion, immigrant status and other forms of inequality, as well as the ways in which power, privilege and discrimination are mapped onto gendered–racialized migrant bodies. It will focus on the southern European city of Naples in Italy, with a significant tradition of PMDCW and home to a well-established community of Sri Lankan migrants, most of whom are PMDCWers. Given its interdisciplinary nature, the project will use mixed methods and methodological triangulation. It will thus probe the embodied intersectional experiences of Sri Lankan women and men living in the interstices of the Italian/Neapolitan PMDCW sector from more than one standpoint, enabling more meaningful conclusions to be drawn.

Mots clés : intersectionality paid migrant domestic and care work italy transnational migration minority studies

Participants :
- Université Ca' Foscari de Venise (Italie) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 193643.28 €
- Université de Bergame (Italie) — Partner, associated partner, Enseignement supérieur ou secondaire, subvention : 0.0 €
Projet TCR-VAWT (Horizon Europe, appel à projets 2024)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Information Science and Engineering
Statut du projet : SIGNED

Offshore wind power is set to be a key driver in the global shift towards renewable energy. The EU Green Deal aims to boost offshore wind capacity by 300 GW by 2050. However, 80% of the world's offshore wind potential is located in deep waters where traditional fixed-bottom turbines are impractical. This underscores the urgent need for innovative and cost-effective floating wind turbine technologies. This MSCA PF addresses this need by developing a novel Tilted Counter-Rotating Vertical Axis Wind Turbine (TCR-VAWT) specifically optimized for spar-buoy floating platforms in deep-water environments, leading to an estimated 40% increase in turbine's performance. Tilting the TCR-VAWT will enhance power output by capturing wind from both upwind and downwind regions, while the counter-rotation will enable the use of direct-drive generators. This technology has a huge potential to significantly reduce the Levelized Cost of Energy (LCOE), by approximately 30% due to the elimination of complex gearbox systems and improved aerodynamic performance. The research methodology will combine high-fidelity Computational Fluid Dynamics (CFD) for detailed aerodynamic analysis with the Finite Element Method (FEM) for structural feasibility. Prototyping and wind tunnel experiments will be conducted to validate the numerical simulations. Finally, the validated data collected will support developing and refining a Machine Learning algorithm, the Tilted VAWT Design and Optimization Code (TVDAOC), aimed to reduce the time needed for design optimization by 30-40%. The project includes two secondments: a three-month stint at World Wide Wind, the sole company specializing in TCR-VAWT technology for structural studies, and five months at the University of Bergamo to conduct experiments.

Mots clés : wind energy tilted vertical axis wind turbines aerodynamic and design optimization structural study experiments machine learning

Participants :
- World wide wind as (Norvège) — Partner, associated partner, Organismes privés (hors enseignement), subvention : 0.0 €
- Université norvégienne pour les sciences de la vie (Norvège) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 267418.56 €
- Université de Bergame (Italie) — Partner, associated partner, Enseignement supérieur ou secondaire, subvention : 0.0 €
Projet JustWATER (Horizon Europe, appel à projets 2022)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Social Sciences and Humanities
Statut du projet : SIGNED

Italy is the 1st European country to export crops irrigated from depleted groundwater sources. JustWATER will uncover exactly where in Italy export-led irrigation agriculture is exploiting the most vulnerable groundwaters and water-scarce areas, identifying bad virtual water GIS hotspots. JustWATER is a research aimed at providing Italian water experts and water decision-makers with a set of tools for informed actions in the realm of the hydro politics of the country. JustWATER connects irrigation patterns to crop-exports trends in Italy, producing GIS maps, graphic charts and socio-economic data to enhance water-related decision-making through virtual water analysis. The novelty of this research is the connection among sub-national levels of analysis (regional and district level) to global virtual water flows, exploring their social and environmental effects and paying attention to gender issues. Exploring the connection between irrigation trends and patterns of agricultural exports will lead to better understanding national water politics in Italy and can be replicated in other drought-prone EU countries.The researcher will get training and knowledge transfer, enhancing her employability and career prospects; the project will enhance the visibility of University of Bergamo in the forefront institutions that are active in both virtual water issues and water & gender enquiry, thanks to the gender-transformative tools enacted by the project. Interdisciplinary in nature, JustWATER will draw upon insights from Human Geography, Political Economy and Political Ecology. Introducing the sub-national scale of analysis constitutes a substantial theoretical innovation in the virtual water literature, which has so far concentrated on the global and national scale. JustWATER will provide policy-oriented tools and end-users data to serve citizen science and open science practices, allowing not only interoperability of research outputs, but also replicability in other countries.

Mots clés : virtual water, water decision making under climate change, droughts

Participants :
- Université de Bergame (Italie) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 188590.08 €
Projet GANIICS (Horizon Europe, appel à projets 2023)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Physics
Statut du projet : SIGNED

Neutron inelastic scattering measurements can be employed for the advancement of both fundamental research and applications. They are essential for the development of new generation nuclear energy systems, in particular for (n, xn) and (n, n’g) reactions which are important as they modify the neutron spectrum and population and produce radioactive species. In addition to nuclear technology applications neutron inelastic scattering measurements can also advance fundamental research providing information on nuclear reaction mechanisms since they are based on a non-selective method for studying nuclear excited states. Such reactions can be studied through high-resolution gamma-spectroscopy as a function of the incoming neutron energy employing high purity Germanium (HPGe) detectors. The n_TOF facility hosted at CERN offers a very suitable beam line for such measurements offering a high instantaneous neutron flux in the neutron energy range of interest of 100 keV up to 100 MeV and an excellent neutron energy resolution due to a short driver beam width and a flight path of more than 180 metres. The n_TOF collaboration developed a prototype HPGe detector suited for this application and has performed test and proof-of-principle measurements already. The present project aims at developing a complete understanding of the existing detector and developing an optimised array of HPGe detectors for this application based on several potential physics cases. Such a setup will offer the opportunity for neutron inelastic measurements at n_TOF and has the potential to provide high precision data for the nuclear community. Furthermore such an array can also be employed in neutron capture cross-section measurements as well as prompt fission gamma ray spectroscopy.

Mots clés : neutron inelastic scattering cross section, nuclear fission, nuclear fusion, gamma ray spectroscopy

Participants :
- Université technique de Vienne (Autriche) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 183600.96 €
Projet Cyb-org (Horizon Europe, appel à projets 2024)
Action : Postdoctoral Fellowships - Global Fellowships
Panel : Chemistry
Statut du projet : SIGNED

Cyb-org aims to apply well-established machine learning (ML) techniques to innovate mechanistic studies and optimization protocols in organic chemistry. Within this project, a robotic platform will be programmed to autonomously set up and sample reactions for kinetic analysis, extracting data on reaction rates, yields, and enantioselectivity. The primary goal of this proposal is to develop statistical models capable of generalizing mechanistic insights across a range of substrates or catalyst variables, focusing on the selected organic transformations. The new model will generate predicted outputs, which can subsequently be experimentally validated to achieve enhanced performance. Identifying outliers within this data will allow for the analysis of atypical reactions, potentially leading to the discovery of novel reactivity and the development of new, significant synthetic strategies. This advanced ML tool could be adopted by the pharmaceutical and fine chemical industries, enhancing automated systems for optimizing organic chemical transformations.

Mots clés : data science, machine learning, multi variate linear regression models, computer assisted reaction development

Participants :
- Université de l'Utah (Etats-Unis) — Partner, associated partner, Enseignement supérieur ou secondaire, subvention : 0.0 €
- Université de la Colombie-Britannique (Canada) — Partner, associated partner, Enseignement supérieur ou secondaire, subvention : 0.0 €
- Université de Gérone (Espagne) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 322164.36 €
Projet MOLA (Horizon Europe, appel à projets 2021)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Social Sciences and Humanities
Statut du projet : CLOSED

Several hundred sites dating from the 5th to the 2nd millennia BC have been identified in the eastern Italian Alps making them one of the best archaeologically-mapped regions among the European mountains. However, despite the large amount of residential and productive prehistoric sites, only few funerary contexts have been unearthed, and even fewer human remains have been studied using state of the art bioarchaeology (e.g. isotope analyses, DNA, etc.). Prehistoric burials found in the eastern Italian Alps represent a unique and exceptional source of information that can provide crucial knowledge on past human mobility and life histories in mountain environment. During this 4,000-year time span an increase of social complexity and an intensification of exchange networks are documented in this region, a buffer zone between the Mediterranean and the central Europe, crossed by major north-south routes (Adige-Eisack valleys), that implied an intensive movement of people, objects and ideas. The MOLA project aims to integrate Alpine Landscape Archaeology with state-of-the-art bioarchaeology and spatial modelling to understand how social strategies influenced human mobility and life histories from the Neolithic to the end of the Bronze Age in mountain environment with a particular focus on the eastern Italian Alps. To tackle this research goal an innovative methodology based on the combined analysis of strontium (87Sr/86Sr), oxygen (d18O) and sulphur (d34S) isotope ratios in prehistoric cremated (87Sr/86Sr only) and inhumed human remains from the area and period under study is used. These are coupled with data from Alpine Landscape Archaeology on human-environment interactions (stratigraphic excavations, surveys, geomorphology, etc.) to shed light on social strategies and possible gender differences behind individual and collective mobility and life histories in the eastern Italian Alps during the Neolithic, the Chalcolithic and the Bronze Age.

Mots clés : alps, neolithic, chalcholitic, bronze age, funerary archaeology, isotopes, mobility

Participants :
- Université d'Ottawa (Canada) — Partner, associated partner, Enseignement supérieur ou secondaire, subvention : 0.0 €
- Vrije Universiteit Brussel (Belgique) — Partner, associated partner, Enseignement supérieur ou secondaire, subvention : 0.0 €
- Université de Trente (Italie) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 172750.08 €
Projet LEmobAB (Horizon Europe, appel à projets 2021)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Social Sciences and Humanities
Statut du projet : CLOSED

The project 'Law Enforcement mobilities Across Borders' (LEmobAb) investigates how practices of cross-border police cooperation (CBPC) contribute to the production of a legal and political European space. Its overall aim is to connect bottom-up insights from selected border-regions with ongoing legislative developments on EU level aimed at enhancing police cooperation, in particular the upcoming proposal for a new regulation, the Police Cooperation Code. Three questions lead this research. 1) Empirically, what are the relations and variables between situated bilateral CBPC and the role of legal-geopolitical practice in fostering security cooperation? Conceptually, what role do LE mobilities and border-regions play in the creation of a European space? And applied, how can qualitative police- and security-research’s understanding of complex social, legal and political dynamics increase its impact? The focus upon LE mobilities (CBPC) as spatial-legal practice enables to contribute filling three gaps: 1) at scholarly and policy level, an empirical research research gap, 2) at the intersection between social and legal police-cooperation scholarship and critical security and EU studies, the need for space-and-practice sensitive concepts of law-making and of law-enforcement, 3) in public scholarship, the under-used potential of academic knowledge visualisation for increased impact. This study will produce empirical results accompanied by empirically grounded practice-oriented and space-sensitive concepts, regarding a delicate but core element along the process of European Integration – the exercise of executive powers beyond national jurisdiction. Results will provide critical understanding of legal frameworks and of social practices which are of relevance to HE cluster III and contemporary EU policy objectives. The innovative PF design will foster a creative and innovate researcher profile. Visual communication will enhance the projects' scientific and public impact.

Mots clés : police cooperation, eu studies, legal anthropology, critical security studies, qualitative studies, afsj, schengen

Participants :
- Haute École d'Art de Zurich (Suisse) — Partner, associated partner, Enseignement supérieur ou secondaire, subvention : 0.0 €
- Université de Trente (Italie) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 188590.08 €
Projet RDMFTforbosons (Horizon Europe, appel à projets 2021)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Physics
Statut du projet : CLOSED

The one-body reduced density matrix plays a fundamental role in describing and predicting general quantum features of bosonic systems, such as Bose-Einstein condensation (BEC) or mode entanglement. The recently proposed reduced density matrix functional theory for bosonic ground states establishes the existence of a universal functional that recovers quantum correlations exactly. So far, this novel theoretical framework has been used to study the universal properties of homogeneous BECs, to prove the existence of the so-called Bose-Einstein repulsive force, which explains quantum depletion in a geometrical fashion, or to efficiently compute well known ground-state properties of translation-invariant homogeneous bosonic systems. Our main purpose in this project is to extend the scope of this reduced density matrix functional theory to systems with broken symmetries, heterogeneous mixtures of bosonic systems, dipolar gases, and bosonic systems at finite temperatures. Our methodology combines analytical approaches and machine learning implementations, in which we have already gained strong expertise. We believe that the achievement of these objectives will offer a range of fascinating possibilities. Just to mention a few, any trap potential could be considered and linear response coefficients become easily accessible. Furthermore, in analogy to many-body localization for electrons, the influence of disorder and interparticle interactions on BECs can be studied in a more direct manner. Universal properties of dipolar gases and bosonic mixtures in the relevant regimes of supersolidity and droplets can potentially be unveiled.

Mots clés : reduced density matrices, non perturbative approaches, highly correlated quantum systems, bose einstein condensation, machine learning, machine learning for quantum systems, ultra cold gases

Participants :
- Université de Trente (Italie) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 188590.08 €
Projet PFV-4-PTAI (Horizon Europe, appel à projets 2022)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Information Science and Engineering
Statut du projet : SIGNED

This project is concerned with the formal verification of modern Artificial Intelligence (AI) systems with Machine Learning (ML) components. Certifying that an AI satisfies certain requirements, such as fairness or safety standards, is pivotal for the regulation and use of this technology in many domains, especially those with high socio-economical stakes. Techniques that can provide formal guarantees on modern AI will have broad impacts on multiple areas described in the Horizon Europe strategic plan 2021-2024. The proposed framework goes beyond the state-of-the-art by adopting a probabilistic approach that satisfies three desiderata. First, it supports arbitrarily complex distributions, handling uncertainty over both non-deterministic systems and/or complex, multidimensional enviroments. Second, it unifies under the same formalism the verification of a multitude of ML models and properties of interest. Third, it enables the verification of ML models as part of a larger system and promises an easier integration into the existing probabilistic formal verification (PFV) tools. The approach is based on the notion of Weighted Model Integration, a recent formalism that enable probabilistic inference over arbitrary combination of logical theories and algebraic constraints.  Paolo Morettin is one of the most prolific authors in the novel but vibrant field of WMI. Having both industrial experience in formal verification and a ML-oriented scientific background, he is the ideal candidate for pushing the boundaries of WMI-based probabilistic formal verification. As a MSCA postdoctoral fellow, Paolo Morettin will advance the state-of-the-art with both theoretical and technological contributions, with the ultimate goal of enabling and facilitating the integration of the proposed framework into the existing PFV tools. At the same time, he will develop a highly valuable multidisciplinary ML/FV background, enhancing his career perspectives.

Mots clés : probabilistic formal verification, machine learning, safety, fairness

Participants :
- Université de Trente (Italie) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 188590.08 €