Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Translational Research Network in Motor Disorder Rehabilitation: Advancing understanding of variability in motor control and learning, to enhance clinical practice (TReND)

Framework: Horizon Europe — Excellent Science
Programme: Marie Skłodowska-Curie Actions (MSCA)
Theme: Marie Skłodowska-Curie
Destination: Doctoral Networks
Action type: Marie Skłodowska-Curie actions
Panel: Social Sciences and Humanities
Countries involved: Germany,France,Sweden,Netherlands,United Kingdom,Belgium,Israel,Switzerland
Call: MSCA Doctoral Networks 2022 (HORIZON-MSCA-2022-DN-01, 2022)
Start date: 2024-03-01
End date: 2028-02-29
Duration (months): 48.0
Total project cost (EUR): 2588844.34
EU funding (EUR): 2462968.8
Participants: 18
Project status: SIGNED

The theoretical understanding of human motor control and learning has a strong impact on the diagnosis and treatment of motor disorders, and vice versa. Recent progress has been made in the understanding of motor control and learning, particularly with respect to understanding the functional role of neuro-behavioural variability that is inherent to sensorimotor control. However, this progress has not yet been transferred appropriately into clinical therapy approaches. The goal of TReND is thus, to create a translational research network in motor disorder rehabilitation. The network will be highly interdisciplinary with doctoral and senior researchers from fundamental research areas (movement science, neuroscience, computer science), clinical practitioners (physical and occupational therapy, rehabilitation science, etc.) and partners from related industries. The overall aim is, to systematically translate recent theoretical and methodological advances in motor control and learning research into clinical practice to enhance clinical diagnosis and motor rehabilitation. More specific, we will investigate the functional role of variability in the sensorimotor coordination dynamics on behavioural and neurophysiological level in motor and mental disorders such as Stroke, Parkinson’s or Alzheimer’s disease. This will be addressed in three research objectives: 1. To investigate how different disorders affect the sensorimotor systems’ capability to exploit functional variability for stable and adaptive motor control; 2. To investigate how novel therapy concepts can enhance the capacity to exploit functional variability and treat motor disorders across different patient populations; and 3. To develop novel approaches to translate the knowledge gain from our fundamental research into clinical practice.

Keywords: motor control motor learning variability therapy clinical rehabilitation ageing motor disorder upper extremity stroke cerebral palsy parkinson s disease cognitive impairment
Next-generation multi-targeted CRISPR genetic toolbox uncovers hidden breeding traits (Multi-Crop)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Proof of concept grants
Action type: ERC actions
Countries involved: Israel
Call: ERC PROOF OF CONCEPT GRANTS2 (ERC-2022-POC2, 2022)
Start date: 2023-08-01
End date: 2025-07-31
Duration (months): 24.0
Total project cost (EUR): 150000.0
EU funding (EUR): 150000.0
Participants: 1
Project status: CLOSED

The need to accelerate crop breeding programs has never been greater, as the world population is exponentially increasing, the climate is changing, and resources are limited. Breeding relies on genetic variation. However, it is impossible to alter many phenotypes by introducing genetic variation in a single gene due to large gene families with high functional redundancy. For example, in tomato and rice, ~80% of coding genes belong to multi-gene families. Therefore, in many cases, mutating multiple gene family members is required to uncover “hidden” traits that are important for plant resilience and food security. Currently, there is no approach or technology that can dig into the hidden genetic redundancy at a genome-scale level (unbiased forward genetics) and reveal masked agricultural traits. To address these challenges, we developed the Multi-Crop technology - the first genome-scale multi-targeted CRISPR libraries in crops. We have constructed, validated, and patented the approach in Arabidopsis, tomato, and rice, demonstrating that the Multi-Crop technology can uncover hidden genetic traits and is the future of plant breeding programs. Not only is this the first demonstration of a large-scale, multi-targeted CRISPR technology in plants, but the unique approach also overcomes functional gene redundancy under any given conditions, such as the response to drought, pathogen, fruit size, and more. Multi-Crop can be applied to most crops and all breeding traits. Therefore, we expect the new toolbox we develop here to transform how scientists and breeders perform genetics. We believe that Multi-Crop is a game-changing technology. Unlike any other technology available today, it enables uncovering hidden phenotypic variations. Moreover, its high throughput nature of maximizing genetic diversity will enable a tailored fit for specific farmers, markets and growth conditions, enhancing productivity and farmer profitability.
Initiative for european Semiconductor-based Large-scale Quantum computer (QLSI2)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Digital, Industry and Space
Theme: Digital
Destination: Digital & Emerging Technologies for Competitiveness and Fit for the Green Deal
Action type: Framework Partnership Agreement
Countries involved: France,Belgium,Netherlands,Germany,Finland,Denmark,Poland,Austria,Hungary,Israel
Call: Framework Partnership Agreement for developing large-scale quantum Computing platform technologies (FPA) (HORIZON-CL4-2023-DIGITAL-EMERGING-01-CNECT, 2023)
Start date: 2024-06-01
End date: 2028-05-31
Duration (months): 48.0
Total project cost (EUR): 0.0
EU funding (EUR): 0.0
Participants: 25
Project status: SIGNED

The QLSI2 FPA proposal consists of 23 partners from 9 different countries, with one of the partners under associated country ownership. By integrating the QLSI2 consortium into the global European quantum ecosystem of complementary European and national consortia, a strong synergistic European partnership will be established with the ambition to demonstrate a cloud-accessible full-stack quantum computer with at least 1000 semiconductor-based qubits by 2029. The QLSI2 partners will leverage the expertise of key European players (RTOs, academic laboratories, start-ups and large companies) in complementary fields of quantum technologies, from hardware to software, to define and implement a roadmap towards such an ambitious goal. The roadmap will extend its vision to the entire value chain, including the supply chain. Particular attention will be paid to the industrialisability of the proposed solution in order to keep Europe at the forefront of the race for quantum supremacy for a long time to come. The roadmap will be implemented in the Specific Grant Agreements (SGA) that will be awarded under the FPA upon its successful completion. In addition to demonstrating large-scale semiconductor-based quantum computers, these SGA will aim to advance both technology and manufacturing readiness to a level high enough to meet Europe's ambitions for its quantum computing capability.

Keywords: quantum technologies quantum computing,quantum computer,quantum advantage,cloud accessibility,semiconductor based qubits,industrialization
Using echoSOUNDer data from fishing vessels to TRACK ecosystem impacts of the krill fishery (SOUNDTRACK)

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: Germany,United States,Norway
Call: MSCA Postdoctoral Fellowships 2024 (HORIZON-MSCA-2024-PF-01, 2024)
Start date: 2026-04-01
End date: 2029-03-31
Duration (months): 36.0
Total project cost (EUR): 401232.0
EU funding (EUR): 401232.0
Participants: 3
Project status: SIGNED

SOUNDTRACK is a project that combines deep learning methods in acoustic data analysis with field sampling and fisheries science to investigate the ecosystem impacts of the Antarctic krill fishery and to improve its management. Antarctic krill is a key species in the Antarctic marine ecosystem and the target of a growing commercial fishery. Given krill's ecological importance, concerns have been raised about potential negative ecosystem impacts from fishing. Resource-efficient approaches to support fisheries monitoring are particularly valuable in this context due to the high costs associated with data collection in Antarctica. In SOUNDTRACK, we will first develop a segmentation model to extract dives of air-breathing krill predators, such as whales, seals and penguins, from historical acoustic data recorded by krill fishing vessels during their operations. Acoustic data from fishing vessels are under-utilised, but provide a rich archive of observations of krill swarms and vessel interactions with krill predators. Analysing the frequency of vessel-predator interactions, and their temporal and spatial occurrence in relation to krill distribution and predator demand for krill, will provide new perspectives on the ecosystem impacts of the fishery, using cost-effective data and platforms as a co-benefit. We will complement the analysis of the acoustic data by conducting an ecosystem survey at the Antarctic Peninsula in autumn 2027, coinciding with the fishing season in this region. By combining the scientific survey data with acoustic observations from fishing vessels from the same region, their fleet movement patterns, and the life stage composition of the krill caught, this approach will allow us to provide a detailed analysis of ecosystem impacts of the fishery. The implications of our analyses for fishery management will be communicated directly to CCAMLR, the management body for the krill fishery, and the segmentation model will be provided as a new monitoring tool.

Keywords: antarctic krill,southern ocean,fishery impact,baleen whales,penguins,active acoustics,deep learning,fisheries management
EFFECTS OF REWILDING IN FORESTS AND AGRICULTURAL LANDS ON CARBON SEQUESTRATION AND DIVERSITY (WILDCARD)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Climate, Energy and Mobility
Theme: Climate
Destination: Climate sciences and responses for the transformation towards climate neutrality
Action type: Research and Innovation actions
Countries involved: Italy,Germany,Finland,Netherlands,Bulgaria,Belgium,Romania,Czechia,Switzerland
Call: Let nature help do the job: Rewilding landscapes for carbon sequestration, climate adaptation and biodiversity support (HORIZON-CL5-2022-D1-02, 2022)
Start date: 2024-01-01
End date: 2027-12-31
Duration (months): 48.0
Total project cost (EUR): 8946199.75
EU funding (EUR): 8946199.75
Participants: 16
Project status: SIGNED

Reaching net zero Greenhouse Gas (GHG) emissions by 2050 is key to limit global warming to 1.5 °C and achieve the targets set out in the Paris Climate Agreement. Mitigation approaches such as renewable energy sources, improved energy efficiency and forest preservation, need to be combined with active carbon dioxide (CO2) removal (CDR). Low-cost nature-based solutions need to be identified, assessed and promoted on a large scale for both CO2 sequestration and biodiversity conservation. WILDCARD will, for the first time in Europe, assess the overall potential impact of natural rewilding of abandoned agricultural land and proforestation on carbon sequestration and biodiversity at multiple spatial and temporal scales. Combining field observations, remote sensing, and vegetation modelling with economic, societal and political analyses, WILDCARD will inform national and European policy makers on the contribution potential of nature-based solutions to achieve net zero emissions by 2050. The project will investigate the regulatory, cultural and economic barriers to natural rewilding and proforestation, and identify which social innovation mechanisms, models and incentives can better support our CDR approach. WILDCARD will use a dedicated cross-scale analysis, linking site-based in-depth knowledge on rewilding impacts and socio-economic consequences to a European-scale assessment, embedded in the current EU policy context and informed by global scenarios from IAMs and ESMs. The final project’s aim is to offer concrete and realistic policy options aimed at enhanced uptake of rewilding as a significant solution to achieve global climate objectives.

Keywords: afforestation proforestation carbon capture biodiversity
Dissecting mechanisms of epigenetic reprogramming driving metastatic transition using cancer patient-derived organoids (EpiMetaPDO)

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: Italy
Call: MSCA Postdoctoral Fellowships 2023 (HORIZON-MSCA-2023-PF-01, 2023)
Start date: 2025-06-01
End date: 2027-05-31
Duration (months): 24.0
Total project cost (EUR): 172750.08
EU funding (EUR): 172750.08
Participants: 1
Project status: SIGNED

Cancer development is a convoluted biological process that reshapes cellular identity. Genetic mutations are crucial in driving such process, yet fail to fully explain metastatic transition—a critical step in cancer evolution. For this reason, reprogramming driven by non-mutational epigenetic changes is increasingly recognized as a potential mechanism by which cancer cells acquire metastatic properties. Despite the genetic heterogeneity, specific transcriptional programs are activated to promote the acquisition of such properties. Therefore, understanding the role of changes at the chromatin level in facilitating metastatic transitions becomes crucial. To address this, I will use patient-derived organoids (PDOs) generated from primary colon cancer and various metastatic sites. PDOs are an optimal model system available in the hosting laboratory, providing a platform for investigation and subsequent functional validation. The project’s first goal is to profile changes in histone modifications and in the enhancer interactome, in primary and metastasis PDOs. This will identify chromatin states transitions and cis-regulatory elements with a key relevance in metastatic progression and maintenance (Aim 1). Transcription factors (TFs) with potential regulatory roles in these processes will be identified by integrating chromatin accessibility data and performing footprinting analysis (Aim 2). Functional validation of candidate TFs will be conducted using CRISPR perturbations, combined with single-cell multi-omic readout and in-vitro assays to assess PDOs' fitness and invasiveness potential (Aim 3). Altogether, in this project we will employ a comprehensive approach to investigate the molecular mechanisms underlying the activation of pro-metastatic gene regulatory networks, providing insights into the epigenetic drivers of metastatic transitions.

Keywords: metastasis patient derived organoids
Engineering nanoparticle-polymer interactions to create instructive, tough nanocomposite hydrogels without negatively impacting self-healing behavior for bone tissue regeneration (Nano4Bone)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Materials Engineering
Panel description: Advanced materials development: performance enhancement, modelling, large -scale preparation, modification, tailoring, optimisation, novel  and combined use of materials, etc.
Countries involved: Netherlands
Call: ERC CONSOLIDATOR GRANTS (ERC-2022-COG, 2022)
Start date: 2023-09-01
End date: 2028-08-31
Duration (months): 60.0
Total project cost (EUR): 2000000.0
EU funding (EUR): 2000000.0
Participants: 1
Project status: SIGNED

Self-healing hydrogels are investigated as promising biomaterials in tissue and organ regeneration applications, offering a powerful alternative for scarce donor tissue. However, these hydrogels are often insufficiently tough, which is a significant limitation in their clinical use. Another drawback is that there are limited solutions on how to instruct cells for tissue healing. Thus, one key challenge is to develop self-healing hydrogels that are mechanically strong and can guide tissue regeneration. However, current methods to improve the mechanical properties of hydrogels negatively impact self-healing behavior. In Nano4Bone, I aim to provide a novel solution to this challenge by engineering nanoparticle polymer interactions using metal-ligand coordination bonds, which, uniquely, are both stable and labile; ideal properties for creating spontaneous self-healing hydrogels. The nanoparticles act as dynamic crosslinkers to increase local crosslinking densities, thus dramatically improving the mechanical properties without affecting the self-healing behavior. Importantly, the nanoparticles can also act as bioactive units through smart incorporation of therapeutic ions to instruct tissue-healing behavior. The metal ligand bond can be tuned for temporally controlled release of bioactive nanoparticles, a novel approach which allows kinetic control over bioactive signals. To prove their clinical utility, I will optimize the materials to treat and regenerate bone tissue in osteosarcoma (OS), for which new treatment options are urgently needed. Nano4Bone proposes an innovative method to drastically improve the mechanical properties of hydrogels without negatively impacting their self-healing abilities. The impact of the project will be large by addressing key challenges in the field, offering a new treatment for OS, and a wide application area of the new materials in regenerative medicine and other biomedical fields.

Keywords: mesoporous silica nanoparticles,inorganic ions,metal ligand coordination,dynamic,self healing,tough,nanocomposites,ceramics,biomaterials,hydrogels
AI-Accelerated Design of Electrolytes for Robust Inorganic-Rich SEI in Li/Na/Mg Batteries (AI4Bat)

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: Chemistry
Countries involved: Slovenia,Sweden
Call: MSCA Postdoctoral Fellowships 2024 (HORIZON-MSCA-2024-PF-01, 2024)
Start date: 2025-05-01
End date: 2027-04-30
Duration (months): 24.0
Total project cost (EUR): 198557.52
EU funding (EUR): 198557.52
Participants: 2
Project status: SIGNED

Battery technology is critical to achieving global decarbonization, but the commercialization of high-energy Li-metal batteries has been stalled for decades due to safety risks and limited lifespan. These issues stem from the failure of the solid electrolyte interphase (SEI) on the Li-metal anode. Conventional carbonate-based electrolytes lead to an organic-rich SEI that is porous, ionically insulating, prone to dendrites formation, dissolution, and electron tunneling, resulting in continuous battery degradation. In contrast, an inorganic-rich SEI, formed by anion decomposition, is dense, insoluble, electron-insulating, mechanically robust, and dendrite-free—offering a path toward safer and more durable batteries. Weakly solvating electrolytes (WSE) have emerged as a promising solution for creating such SEIs, but their development remains slow, relying on inefficient trial-and-error methods. The AI4Bat project aims to revolutionize this process by developing an AI-model capable of predicting optimal solvents to form WSEs for Li, Na, and Mg-metal batteries. Starting with Li-metal batteries, the AI-model will link solvent properties to anion reduction in the electric double layer using atomic simulations. This model will then screen new solvents from extensive databases, which will be formulated into WSEs and tested in pouch cells. The performance of these WSEs will be rigorously evaluated, focusing on the inorganic, ion-conductive, electron-insulating, mechanical properties and insolubility of the SEI, and correlated with overall battery performance. Upon successfully validating the AI-model in Li batteries, I will transfer it to Na/Mg-metal batteries to enhance their electrochemical performance through the development of robust inorganic-rich SEIs. This project will significantly accelerate the design of safer, high-performance batteries, paving the way for next-generation energy storage and conversion technologies.

Keywords: solid electrolyte interphase sei,artificial intelligence,weakly solvating electrolyte wse,li na mg metal batteries
Integrated Quantum Repeater Nodes (IQARO)

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: Physics
Countries involved: Spain,Italy
Call: MSCA Postdoctoral Fellowships 2022 (HORIZON-MSCA-2022-PF-01, 2022)
Start date: 2024-04-01
End date: 2026-03-31
Duration (months): 24.0
Total project cost (EUR): 181152.96
EU funding (EUR): 181152.96
Participants: 2
Project status: SIGNED

Recent breakthroughs in the field of quantum technologies combining academic and R&D efforts have demonstrated the potential of quantum networks for major applications such as long-distance secure communication or quantum cloud computing. One current challenge is to deploy quantum networks out of the lab for realizing their expected far-reaching societal and economic impact. A crucial requirement for reaching this goal is the realization of a quantum repeater that will be able to extend quantum links to continental distances. In this context, the use of integrated photonic platforms, allowing for low-footprint, alignment-free and mass-manufacturable quantum nodes, represents a significant resource for real-life applications of quantum networks. In this proposal, we provide a route for achieving this goal through the integration of rare-earth quantum memories on fiber-pigtailed glass photonic chips. This technology enables the storage of single photons in a platform that is compatible with integrated photonic circuits used to perform quantum gates and computations. We will demonstrate for the first time on-demand retrieval of photons in an all-fiber quantum memory then build the first elementary integrated quantum memory node with a multi-memory photonic chip that could readily be embedded in a DLCZ-like quantum repeater architecture. The goals set in this proposal are important milestones towards the achievement of robust application-ready quantum networks and the establishment of a European quantum internet.

Keywords: quantum memories,quantum repeaters,quantum communications,entanglement