Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Ultra-Efficient Highly-Integrated 1200V Powertrains for Electric Vehicles Enabling Next-Gen Charging Speeds and Compatibility Across Charger Generations (GEN1200)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Climate, Energy and Mobility
Theme: Mobility
Destination: Clean and competitive solutions for all transport modes
Action type: Research and Innovation actions
Partnership: 2ZERO (co-programmed)
Countries involved: Belgium,Germany,Italy
Call: Integration and testing of next generation post-800V electric powertrains (2ZERO Partnership) (HORIZON-CL5-2024-D5-01, 2024)
Start date: 2024-12-01
End date: 2027-11-30
Duration (months): 36.0
Total project cost (EUR): 4999722.5
EU funding (EUR): 4999722.5
Participants: 8
Project status: SIGNED

Current mass-market electric vehicles (EVs) commonly operate at a voltage level of 400V. There is however a clear trend to increase the voltage level towards 800V and beyond, as these higher voltages allow for faster charging and lower thermal loads in the system. GEN1200 will focus on modular and scalable 1700V SiC-based power electronics solutions for highly-integrated 1200V powertrains, encompassing technologies for ultra-fast charging while ensuring compatibility with existing charging infrastructure, maximally exploiting the opportunities enabled by higher voltages. The project activities will particularly result in: (i) innovative 1700V SiC power electronics systems with multiple use of components, e.g., the traction inverter will also embed the functionality of backwards compatibility with 400V or 800V DC charging and on-board AC charging; (ii) 1200V electric axle solutions with electrical, thermal and mechanical integration of the power electronics, electric machine, mechanical transmission, and a selection of auxiliaries; (iii) ultra-fast 350 kW charging of novel 10C battery modules with integrated electronics and a modular wireless battery management system for 1200V battery packs. Innovations will be tailored to C-segment vehicles but extrapolation towards other segments will be considered. All activities will be supported by the development of digital twins, as well as control solutions tailored to 1200V systems and for reducing power losses in partial load, and life cycle analysis. Innovative testing methodologies, combining classical component and system characterisation, x-in-the-loop, and experimental vehicle assessment, will cover the wide range of relevant aspects, including efficiency, durability, electromagnetic compatibility and interference, as well as charging performance and sustainability. GEN1200 will leverage the complementary competences and exploitation potential of 3 academic partners, 1 RTO, 2 SMEs and 2 large industrial players.

Keywords: electric powertrain,power electronics,traction inverter,mechanical integration,thermal integration,e axle,backwards compatibility,fast charging,digital twins,optimal control,battery pack
GRF-mediated regulation of a membrane protein, IRT1, involved in metal uptake (GIFT)

Framework: Horizon Europe — Excellent Science
Programme: Marie Skłodowska-Curie Actions (MSCA)
Theme: Marie Skłodowska-Curie
Destination: Postdoctoral Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Life Sciences
Countries involved: France
Call: MSCA Postdoctoral Fellowships 2024 (HORIZON-MSCA-2024-PF-01, 2024)
Start date: 2026-09-01
End date: 2028-08-31
Duration (months): 24.0
Total project cost (EUR): 226420.56
EU funding (EUR): 226420.56
Participants: 1
Project status: SIGNED

Iron (Fe) is one of the most common metals in the Earth's crust, but plants are often unable to absorb it as it forms insoluble complexes, especially in alkaline soils. This unavailability leads to poor crop yields and low nutritional quality. As Fe fertilization is rather ineffective and costly, around half of the world's crops suffer from iron deficiency. To mitigate Fe deficiency symptoms and maintain nutrient homeostasis, plants rely on a protein called Iron-Regulated Transporter 1 (IRT1) to take up iron from the soil. However, IRT1 also absorbs other metals that are more easily available in Fe-deficient soils. These metals can be harmful to plants if absorbed in excess, causing damage to cellular compounds through the formation of reactive oxygen species. To limit this toxicity, IRT1 is able to sense metal excess, leading to its degradation to avoid further uptake. To better understand this feedback loop, previous work from the host laboratory uncovered interactants of IRT1 under non-Fe metal excess, including General Regulatory Factors (GRFs) which are known to modulate the functions of their targets by controlling their subcellular localization or cell polarity, preventing their degradation or allowing their interaction with additional partners. The GIFT project aims to uncover how plants balance iron uptake and protect themselves from excess of harmful metals to eventually improve crops development and reach better yields. To this avail, I will (1) investigate the involvement of IRT1-interacting GRFs in plant metal homeostasis through molecular and physiological analyses of plant metal excess responses; (2) decipher the molecular mechanisms governing the association of GRFs to IRT1; (3) and elucidate their putative role in the control of IRT1 subcellular localization and cell polarity. This multidisciplinary research will expand my expertise in plant physiology and cellular biology. It will help me to consolidate my position as an independent researcher.

Keywords: plant biology,iron nutrition,membrane transporter polarity,arabidopsis
Firms' Behaviour in Rough Environments (FIBRE)

Framework: Horizon Europe — Excellent Science
Programme: Marie Skłodowska-Curie Actions (MSCA)
Theme: Marie Skłodowska-Curie
Destination: Postdoctoral Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Economic Sciences
Countries involved: Italy
Call: MSCA Postdoctoral Fellowships 2021 (HORIZON-MSCA-2021-PF-01, 2021)
Start date: 2022-11-01
End date: 2025-03-31
Duration (months): 29.0
Total project cost (EUR): 188590.08
EU funding (EUR): 188590.08
Participants: 1
Project status: CLOSED

FIBRE Project (FIrms’ Behaviour in Rough Environments) aims to analyse how firms’ optimal behaviour changes in contexts affected by distortions related to the presence of organised crime or inefficient public procurement, and to measure the resulting welfare losses. How firm activity matters for long-rung growth and prosperity and the importance of the allocation of productive resources across firms as crucial determinant of aggregate output and productivity are topics that have been widely explored in the economic literature. Yet, there is still limited research examining the specific sources of market distortions. FIBRE aims to fill this gap examining two possible sources of market distortions: organised crime and inefficient public procurement to firms. FIBRE answers two crucial questions: (i) how the infiltration of organised crime impact firms’ behaviour and, in turn, shape aggregate outcomes; (ii) whether the efficiency through which a public resource is provided impacts firms’ behaviour and, consequently, implies aggregate costs. Answering these questions is of key importance for national and transnational policy makers in their efforts to guarantee a stable economic growth. FIBRE is grounded on my competence in analysing theoretically and empirically firms’ behaviour in hostile environments, combining reduced-form analysis and structural econometrics tools, and the expertise of my host supervisor at the Bocconi’s research unit CLEAN on the economic effects of organised crime. This Fellowship will strengthen my research skills, reinforcing my professional maturity as senior assistant professor and external consultant. FIBRE will create high-quality new knowledge on the economic consequences of organised crime and inefficient public procurement systems, in line with the most recent EU initiatives.

Keywords: aggregate loss organised crime public procurement policy recommendations network
Shining Light on Saturated Gluons (GlueSatLight)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Fundamental Constituents of Matter
Panel description: Particle, nuclear, plasma, atomic, molecular, gas, and optical physics
Countries involved: Finland
Call: ERC CONSOLIDATOR GRANTS (ERC-2023-COG, 2023)
Start date: 2024-06-01
End date: 2029-05-31
Duration (months): 60.0
Total project cost (EUR): 1989289.0
EU funding (EUR): 1989289.0
Participants: 1
Project status: SIGNED

In this project the properties of hadronic matter with emergent non-linear saturation phenomena at extremely large parton densities are theoretically determined. This is achieved by studying Quantum Chromodynamics (QCD), describing the strong interactions between quarks and gluons, at high energies. There are solid theoretical arguments formulated in the Color Glass Condensate (CGC) effective field theory to suggest that saturation effects play a major role in hadronic interactions at high energies. However, so far no clear signal of gluon saturation have been observed. This will change when the Electron-Ion Collider (EIC) starts to measure photon-mediated electron-nucleus collisions allowing for precision studies of high density hadronic matter in heavy nuclei. We develop the CGC approach to high-energy QCD to the level where, for the first time, multiple scattering processes can be simultaneously described from the unified framework at next-to-leading order accuracy. These developments are necessary to bring the theoretical framework to the level required to probe non-linear dynamics in the EIC era. We extract the non-perturbative proton structure from global analyses and determine if non-linear QCD dynamics is observable in current collider energies. We calculate predictions for the EIC and determine how different processes at the EIC probe gluon saturation. Before the EIC, photon-induced processes at high energies are available at the LHC in ultra peripheral collisions that we use to extract, for the first time, the effect of non-linear dynamics on the nuclear high-energy structure at NLO accuracy. The fundamentally important results are applied to develop a new description for the initial condition of heavy ion collisions where Quark Gluon Plasma (QGP) is produced. We determine the effect of NLO initial state description on the extraction of fundamental QGP properties, and quantify the synergies between the LHC heavy ion program and future EIC.

Keywords: lhc,color glass condensate,gluon saturation,electron ion collider
Multimodal Brain Imaging – Gene Relationships in Alzheimer Disease: Risk and Resilience (ADRIAN)

Framework: Horizon Europe — Excellent Science
Programme: Marie Skłodowska-Curie Actions (MSCA)
Theme: Marie Skłodowska-Curie
Destination: Postdoctoral Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Life Sciences
Countries involved: Spain
Call: MSCA Postdoctoral Fellowships 2022 (HORIZON-MSCA-2022-PF-01, 2022)
Start date: 2023-10-01
End date: 2025-09-30
Duration (months): 24.0
Total project cost (EUR): 181152.96
EU funding (EUR): 181152.96
Participants: 1
Project status: CLOSED

The list of genes contributing to increased risk of developing Alzheimer’s Disease (AD) grows every year. To date, large case-control Genome-Wide Association Studies have found 98 genetic loci associated with late-onset Alzheimer's Disease (LOAD). However, apart from a small number of genes related to familial cases, it remains largely unknown the direct relationships between genes amyloid-β and tau misfolding protein accumulation (hallmark of AD), and neurodegeneration of the human brain. Even more striking, current knowledge of mutations potentially conferring genetic resilience is sparse. A better characterization of each genetic risk loci and identification of protective genetic variants could lead to development of effective therapeutical targets, actually unavailable for AD. The goal of this project is to characterize associations between the 98 LOAD genetic risk loci, in vivo tau and amyloid-ß PET, and MRI neurodegeneration – including an examination of potential genetic variants conferring disease resilience. Hypotheses: genetic loci will show distinct spatial patterns of tau and amyloid-ß spreading and neurodegeneration, helping us to better understand AD biological heterogeneity. I expect to find different subtypes of AD with different molecular mechanism and different therapeutical targets for each subtype. I will use PET imaging of ~3,000 participants from the Harvard Aging Brain Study, and the A4 and ADNI databases. ~35,000 participants from the UK Biobank with genetic and functional and structural MRI will also be used to study the impact of genetic loci on neurodegeneration. Importantly, as a first analysis, we will search for the effects of each risk loci and protective variants conferring resilience; secondary analyses will also explore the contributions of sex and ethnic minority factors

Keywords: alzheimer disease,phewas,pet,mri,gwas
Semantics-Pragmatics of Early English do-support (SEEDS)

Framework: Horizon Europe — Excellent Science
Programme: Marie Skłodowska-Curie Actions (MSCA)
Theme: Marie Skłodowska-Curie
Destination: Postdoctoral Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Social Sciences and Humanities
Countries involved: Belgium
Call: MSCA Postdoctoral Fellowships 2024 (HORIZON-MSCA-2024-PF-01, 2024)
Start date: 2025-07-01
End date: 2027-06-30
Duration (months): 24.0
Total project cost (EUR): 200400.0
EU funding (EUR): 200400.0
Participants: 1
Project status: SIGNED

This project will tackle an old and much debated topic in historical English: the origin of English do-support (DS). The new approach is within an interdisciplinary framework of language change and grammaticalisation, and views language as composed of constructions, the process driven by the pragmatics. The focus is the tipping point between the construction as semantically compositional, and the later stages where it is predominantly idiomatic. This research is underpinned by widespread evidence that grammaticalisation pathways for auxiliary verbs are often very similar cross-linguistically (Bybee, Perkins & Pagliuca 1994). It is specifically informed by a recent study of a ‘do’-support construction in a different language, the living Romance dialect of Camuno (the researcher’s PhD topic: Swinburne 2021), perhaps currently the only example of DS other than English with sufficient data to indicate a grammaticalisation pathway. There are certain similarities between the more primitive forms of DS in modern Camuno and in (south)-western dialects of historical English (1400-1550). These are: 1) semantic preferences in the type of infinitival verb (activity > stative verb) and subject thematic role (agent > experiencer); 2) expression of reality, certainty and existence (in comparison to both main verb-only and modal sentences); 3) an intensifying meaning employed to express doubt or confirmation of a speaker’s prior expectation (so in this sense its use is ‘presuppositional). Through detailed analysis of certain historical texts, the project explores the meanings and functions of early DS in this period; how these meanings may be predetermined by the lexical meaning of ‘do’; and the extent to which syntax played a part in the early developments.

Keywords: do support,auxiliary verbs,language change,construction grammar,historical linguistics,middle english dialects
Are anthropogenic pollutants in Marine sediments a potential mEthane (CH4) SoURcE (ME4SURE)? (ME4SURE)

Framework: Horizon Europe — Excellent Science
Programme: Marie Skłodowska-Curie Actions (MSCA)
Theme: Marie Skłodowska-Curie
Destination: Postdoctoral Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Environment and Geosciences
Countries involved: Sweden,Denmark
Call: MSCA Postdoctoral Fellowships 2021 (HORIZON-MSCA-2021-PF-01, 2021)
Start date: 2022-06-01
End date: 2024-05-31
Duration (months): 24.0
Total project cost (EUR): 222727.68
EU funding (EUR): 222727.68
Participants: 2
Project status: CLOSED

Current climate change and global warming with a continuous increase of methane (CH4) emissions will reshape life on Earth. Oceanic methane emissions are predominantly controlled by the coastal environments, which are confronted with intensifying inputs of various anthropogenic chemicals from human activities. Alarming new correlations have been found between this increased coastal pollution, especially discharges from wastewater treatment plants (WWTP), and CH4 emissions. However, without knowing the mechanism of influence of the anthropogenic chemicals on CH4 cycle in marine sediments, we might be underestimating CH4 into the atmosphere from polluted coastal environments and cannot mitigate these emissions. To move from correlation-based observations to a mechanistic- and experimental-based knowledge of CH4 production pathways in polluted coastal sediments it is necessary to apply multidisciplinary approaches. In this project it is achieved by a novel strategy through both field and experimental approach, where different disciplines: Compound-Specific Isotope Analysis, biogeochemistry, and microbial analysis are applied to provide separate line of to define the level of anthropogenic organic chemicals influence of CH4 emissions in coastal environment. I will investigate a representative polluted coastal area located in the Swedish West coast, which hosts the largest Scandinavian oil harbor (the primary petrochemical industry in Sweden), several streams debouch from agricultural areas, and the direct discharge of hundreds of chemicals from a WWTP. This project is the first step to improve our understanding on how much CH4 is produced in coastal areas affected by chemical pollution with global impact on the CH4 oceanic budget.

Keywords: methane,coastal pollution,methanogenesis,isotope analysis
Towards globally accessible language technology and its alignment to cultural contexts (CulturAL)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Computer Science and Informatics
Panel description: Informatics and information systems, computer science, scientific computing, intelligent systems
Countries involved: Netherlands
Call: ERC CONSOLIDATOR GRANTS (ERC-2024-COG, 2024)
Start date: 2025-09-01
End date: 2030-08-31
Duration (months): 60.0
Total project cost (EUR): 1998926.25
EU funding (EUR): 1998926.0
Participants: 1
Project status: SIGNED

My research project focuses on natural language processing (NLP), an area of artificial intelligence concerned with automatic interpretation and generation of human language. NLP is well-known for its widely-used applications, such as machine translation (MT), text mining, question answering or dialogue systems. Much of this technology is now powered by large language models (LLMs), such as ChatGPT, which take a natural language instruction or question as input, and generate a fluent response. Due to their impressive performance in a range of tasks and their ease of use, in less than a year they received a wide adoption in many societal contexts (education, journalism, healthcare and others), and became the central paradigm in the field of NLP. The development of LLMs, however, requires access to a vast amount of data and resources in a given language, as well as considerable computational infrastructure. As a result, these models are in practice limited to a handful of widely-spoken languages, leaving over 6,000 of the world’s languages and dialects without access to language technology. Furthermore, research on LLM alignment, which aims to ensure the safety of their use, has been almost exclusively directed toward the English-speaking world. Taken together, these problems lead to a major inequity in today’s language technology and artificial intelligence more broadly. Taking a step towards a more inclusive and equitable language technology, this project will develop a novel methodology for cross-lingual transfer of LLMs to a wide-range of (low-resource, understudied) languages and dialects, and their alignment to diverse cultural contexts. The project will, therefore, advance multilingual NLP technology, extending its reach to populations currently underserved by NLP and making it safe for them to use.
Digitalizing the Lifecycle of Community-Integrated PV Systems for Smart Grid-Ready and Inclusive Energy Communities (PVSmile)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Climate, Energy and Mobility
Theme: Energy
Destination: Sustainable, secure and competitive energy supply
Action type: Innovation actions
Countries involved: Greece,Italy,Netherlands,Germany,Spain,Portugal,Slovenia,Türkiye,Morocco,Tunisia
Call: Innovative, Community-Integrated PV systems (HORIZON-CL5-2024-D3-02, 2024)
Start date: 2025-11-01
End date: 2028-10-31
Duration (months): 36.0
Total project cost (EUR): 6000962.5
EU funding (EUR): 4999982.5
Participants: 28
Project status: SIGNED

PVSmile aims to transform passive utility-scale PV components and systems into flexible, community-level assets that are fully integrated into energy grids. By leveraging cutting-edge ICTs alongside decentralized, sharing-economy and community-driven models, PVSmile will deliver data-driven, value-added energy and non-energy services to key stakeholders across the energy value chain (network operators, aggregators, ESCOs) and the PV sector (manufacturers, developers, O&M providers). This vision will be realized through: Interactive SSH-driven frameworks & Multi-Level Governance Models to promote inclusive energy communities, increasing citizen participation especially among underrepresented groups; Smart Grid Readiness Index for Energy Communities & MCDA tools to build consensus among diverse stakeholders; Inclusive & circular economy business models, coupled with incentive mechanisms; PV-centric Data Space adaptation, integrating DLT/Blockchain, cybersecurity mechanisms and semantic interoperability to facilitate seamless, secure, and standardized data exchange; Smart hierarchical control strategies at different levels (PV converters, inverters, substations) supported by smart power electronics, sensors and intelligent systems; Data-driven applications & advanced components for PV optimal planning, construction, operation & EoL management; Advanced AI/ML tools, flexibility modelling services & an Energy Data Space-compliant DLT/Blockchain marketplace to enable PV-community orchestration and P2P asset trading; GenAI-based Digital Twin for hierarchical coordination of energy communities with the grid. PVSmile focuses on international collaboration across the Mediterranean region, with demonstration and replication activities in 9 countries (3 Front Runners, 3 EU & 3 Non-EU Early Adopters). The Leadership Programme and policy recommendations will further support scalability, ensuring the long-term success of community-integrated PV systems across different regions.

Keywords: pv value chain pv lifecycle multi level governance consensus smart grid readiness energy data spaces blockchain cybersecurity ieee 2030 5 hierarchical control ai ml genai flexibility