Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Mapping the brain-spinal cord interaction towards understanding and treatment of movement disorders (Move2Treat)

Framework: Horizon Europe — Innovative Europe
Programme: The European Innovation Council (EIC)
Theme: EIC Pathfinder
Destination: Open to supporting projects in all areas of science, technology,...
Action type: EIC actions
Countries involved: Denmark,Cyprus,Germany
Call: EIC Pathfinder Open (HORIZON-EIC-2023-PATHFINDEROPEN-01, 2023)
Start date: 2024-07-01
End date: 2027-06-30
Duration (months): 36.0
Total project cost (EUR): 2996048.75
EU funding (EUR): 2996048.75
Participants: 4
Project status: SIGNED

Movement is one of the most important activities in our everyday life. It is an essential element for maintaining overall health and well-being, with more than 1 billion people globally suffering from a neurological disease that directly affects their movement. Each year, more than 1.5 million people experience a stroke in the EU alone leading to death, paralysis, or some kind of disability; this is a significant burden on healthcare systems with no cure. We must address the questions: How do we move? What is the underlying physical mechanism of the brain-spinal cord interaction that orchestrates the generation of movement? To be able to answer those, a high-performance bi-directional interface is required. Move2Treat explores disruptive science by developing a new brain-spinal cord interface to investigate the associated neuronal circuits. In fact, Move2Treat has 3 distinct breakthroughs: (1) a novel theory on movement generation by rotating ensembles validation the neuronal population activity across central brain regions and the spinal cord. (2) A bi-directional soft-fiber platform as neural interface to brain and spinal cord in freely behaving species. (3) Validation of theory (1) and neural interface (2) in the disease models. The developed theory and implant enable the “next-generation pacemaker of the nervous system” based on the first complete, minimally invasive, wireless, biocompatible and soft multifunctional fiber-based neural interface to map the brain-spinal cord activity by simultaneous stimulation/recording in vivo and real-time with high spatial and temporal resolution. Move2Treat is a European approach to establish technological sovereignty, delivering the “next-generation precision sensing for neurological science”.

Keywords: neural interfaces,movement,brain disorders,photonics
Non-invasive computational immunohistochemical staining based on deep learning and multimodal imaging (STAIN-IT)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Prevention,  Diagnosis and T reatment of Human Diseases
Panel description: Medical technologies  and tools for prevention, diagnosis and treatment of human diseases, therapeutic approaches and interventions , pharmacology, preventative  medicine, epidemiology and public health , digital medicine
Countries involved: Germany
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): 1989086.0
EU funding (EUR): 1989086.0
Participants: 1
Project status: SIGNED

In most European countries, the diagnosis of cancer is achieved by examination of haematoxylin-eosin (HE) staining by an experienced pathologist. Nevertheless, several other diagnostic approaches exist (e.g., immunohistochemical staining) which are not applied routinely for all cases due to their technical complexity, duration, and cost. Therefore, an important unmet medical need for fast, non-invasive, and label-free immunohistochemical staining based on molecular imaging without laborious sample treatment exists. This demanding challenge will be tackled in STAIN-IT using a non-invasive label-free measurement technique called multimodal imaging (e.g., the combination of coherent anti-Stokes Raman scattering, second harmonic generation, and two-photon-excited fluorescence). The multimodal images will be analysed using deep learning approaches, such as convolution neural networks (CNNs). These CNNs are utilized to mimic immunohistochemical stainings. CNNs are neural networks that learn the feature representation of the data, which is optimally suited to model a specific immunohistochemical staining. In STAIN-IT, the staining models will be developed along with the methods to quantitatively understand the nonlinear behaviour of the CNNs. With the envisioned approximation approaches for CNNs, these models no longer act as ‘black box’ systems, and a quantification of tissue changes associated with the staining models can be achieved. For the very first time, STAIN-IT will develop a label-free, non-invasive, labour-inexpensive, and fast computational immunohistochemical staining, which can be easily implemented into clinical routine yielding increased diagnostic reliability and a better understanding of disease pathogenesis. A fast test of the antigen KI-67 in an intraoperative frozen section consultation situation or the use of Collagen IV as a quality control marker of tissue-engineered medicines are some of the exciting application possibilities of such staining model.

Keywords: computational immunohistochemical staining,deep learning,multimodal imaging,image processing,artificial intelligence,computer vision and visualization
Learning Visual Foundation Models for Perceiving 3D Humans (Human3D)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Computer Science and Informatics
Panel description: Informatics and information systems, computer science, scientific computing, intelligent systems
Countries involved: Switzerland
Call: ERC STARTING GRANTS (ERC-2025-STG, 2025)
Start date: 2026-02-01
End date: 2031-01-31
Duration (months): 60.0
Total project cost (EUR): 1500000.0
EU funding (EUR): 1500000.0
Participants: 1
Project status: SIGNED

The world is entering the age of autonomy, where systems like self-driving cars and assistive robots face the challenge of perceiving and understanding human behavior in complex, dynamic environments through sensory inputs like images. While human motion and behavior have been studied extensively using visual data, existing methods often struggle in open-world settings due to their inability to generalize beyond domain-specific training data. The goal of this project is to learn generalizable visual representations from large-scale training data and create a foundational model that supports various human analysis and modeling tasks, grounded in 3D environments, in an open-world setting. Our key objectives include (1) Devising new human-centric representations and algorithms for accurate 3D human motion and appearance reconstruction from in-the-wild videos. (2) Developing advanced generative models synthesizes large-scale, realistic virtual humans, emphasizing controllability and efficiency. (3) Designing physics-guided methods for long-duration human-scene interaction capture using embodied devices. (4) Studying efficient learning algorithms and unified model architectures for 3D human foundation models that enable efficient fine-tuning and generalization across various human-centric computer vision tasks. We aim to establish the computational and algorithmic groundwork for human-centric visual foundation models, with advancement in generative modeling, human-centric representation learning, and visual data simulation. Our work will facilitate the development of autonomous AI agents for various sectors, including autonomous driving, extended reality, education, and manufacturing. Ultimately, this project is committed to advancing human-centric AI technologies, fostering more robust and effective human-AI interaction, and paving the way for practical applications that significantly improve everyday life and industrial processes.

Keywords: digital humans,human motion capture,egocentric computer vision,3d foundation models,generative models
Integrated Novel Bypass Element Enabling Stable Perovskite Solar Cells and Modules for Mass Production (MemStabSol)

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: Switzerland
Call: ERC PROOF OF CONCEPT GRANTS (ERC-2025-POC, 2025)
Start date: 2026-01-01
End date: 2027-06-30
Duration (months): 18.0
Total project cost (EUR): 150000.0
EU funding (EUR): 150000.0
Participants: 1
Project status: SIGNED

The European Green Deal aims for a climate neutral EU in 2050. This can only be achieved by novel technologies, amongst them renewable energy sources. Photovoltaics has proven viable but requires improvements in terms of its environmental footprint. Thus, efficiency must be maximized and energy and raw materials used for production minimized. The recently emerged research field of perovskite solar cells (PSCs) might provide an answer to these challenges. However, PSCs face one huge obstacle on their way towards commercialization: They are not stable under all operational conditions, in particular they are easily damaged when they are integrated into solar modules, where part of the module(s) might be shaded. This work provides a fully novel and unique solution, which protects the PSC and allows harvesting the energy of the non-shaded cells. Our goal is to develop a fully integrated and mass-production compatible version of our protecting element. We will fabricate a larger-area demonstrator, which will show non-deteriorated efficiency or stability compared to the PSC itself. To assess the long-term performance of our cointegrated device, we will develop a suitable test protocol for the lab and operate a series-connected module under real-world shading conditions. We will consult with solar-cell manufacturing companies to solely focus on materials and processes relevant and feasible for large-scale production. We will optimize our current vacuum processing steps and expand to solution processing technologies compatible with industrial printing processes. By the end of the project, we will have established R&D collaborations with the industry and found partners for licensing our technology.

Keywords: perovskite solar cells,photovoltaics
Cavity quantum electrodynamics control of magnetic phases in twisted van der Waals heterostructures (CavityMag)

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
Call: MSCA Postdoctoral Fellowships 2022 (HORIZON-MSCA-2022-PF-01, 2022)
Start date: 2023-05-01
End date: 2025-05-31
Duration (months): 25.0
Total project cost (EUR): 181152.96
EU funding (EUR): 181152.96
Participants: 1
Project status: CLOSED

To further increase performance and reduce energy consumption in technological devices, a new paradigm is needed exploiting quantum mechanical phenomena. An attractive route to enter this paradigm is by interfacing light and magnetic excitations in new optomagnetic devices, which ensures processing frequencies comparable with electronics and hold great promise for future memory, spintronics and quantum computing devices. This, however, requires a deeper understanding of strongly coupled light-matter systems and the interplay between magnetic, electronic, photonic and lattice excitations. A promising platform to explore exotic magnetic phenomena is magnetic van der Waals (vdW) materials, since the competition of anisotropy, quantum fluctuations and spin-orbit coupling make these materials prime candidates to host such states and susceptible to material engineering techniques. This can be exploited in cavity quantum electrodynamics (c-QED) and Moiré engineering to control the magnetic state. By combining c-QED with Moiré engineering, the goal of CavityMag is to construct schemes to control the magnetic state of vdW materials and to induce exotic magnetic phases. This will be achieved by developing state-of-the-art computational tools based on quantum electrodynamical density functional theory (QED-DFT) in combination with effective spin-photon models. This computational framework will be used to perform a systematic study of light-induced magnetic phases in twisted vdW materials, to gain a deeper understanding of how microscopic magnetic interactions can be modified, and to establish concrete protocols to control the macroscopic magnetic state. It will also be used to guide experimental efforts by identifying candidate materials and parameter regimes likely to host exotic states of great promise for the construction of new high performance and energy efficient technological devices.

Keywords: exotic magnetic states,cavity quantum electrodynamics,moir engineering,magnetic van der waals heterostructures,quantum electrodynamical density functional theory qed dft
Female Bodies in Sacred Spaces: Re-evaluating Women’s Agency in the Greek World. (FemBod)

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: Norway
Call: MSCA Postdoctoral Fellowships 2022 (HORIZON-MSCA-2022-PF-01, 2022)
Start date: 2023-10-02
End date: 2025-10-01
Duration (months): 24.0
Total project cost (EUR): 210911.04
EU funding (EUR): 210911.04
Participants: 1
Project status: SIGNED

The project aims at re-evaluating women’s agency in the Greek sacred world through the application of an innovative and interdisciplinary approach encompassing cognitive archaeology. The role of women in Ancient Greece has been either overlooked or described as powerless, controlled and excluded by scholars (Hogbin, 1970; Spain, 1992). This research overturns this narrative by revealing evidence of powerful female agency in the Ancient Greek sacred space through a cognitive reading of the historical context and ancient mind which will also explain the reasons why women were highly involved and how their agency was fundamental for successful rituals.

Keywords: cognitive archaeology
Visual Translatomics – Deep ribosomal insights by cryo-electron microscopy of actively translating ribosomes (DeepRibosome)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Molecules of Life: B iological  Mechanisms , Structures  and Functions
Panel description: For all organisms : Molecular biology , biochemistry, structural biology, molecular biophysics , synthetic and chemical biology, drug design, innovative methods and modelling
Countries involved: Germany
Call: ERC ADVANCED GRANTS (ERC-2024-ADG, 2024)
Start date: 2025-10-01
End date: 2030-09-30
Duration (months): 60.0
Total project cost (EUR): 2500000.0
EU funding (EUR): 2500000.0
Participants: 1
Project status: SIGNED

Structure determination of dynamic macromolecular molecular machines and elucidating their conformational landscapes are fundamental tasks of structural biology. The ribosome as a paradigmatic macromolecular machine interacts with numerous ligands and factors throughout its functional cycles, which in turn are driven and regulated by various conformational modes. Project DeepRibosome proposes a new way to perform structural studies. It is based on our recent finding that E. coli ex-vivo derived polysomes carrying the translatome can be efficiently reactivated in the PURE in vitro translation system. Cryo-EM of actively translating ribosomes results in comprehensive structural landscapes. During steady state, all intermediates are expected to be present, including the short-lived ones. Supported by preliminary data, we estimate that applying multi-particle sorting of images we can resolve states with a lifetime in the one-digit millisecond range. This allows us to study under optimal conditions fast steps such as the GTPase factor-dependent reactions or peptidyl-transfer/accommodation without artificially stalling the reaction by antibiotics or non-cleavable GTP analogues. The structural studies will be accompanied by functional assays including Ribo-seq to monitor translation of the cell-derived translatome in a cell-free system. While, we will also conduct in situ structural analysis for comparison, the strength of our new approach is that we can track translation from an integrated structural and functional perspective, preserving/reconstituting many native features but under defined and controllable conditions. This will not only provide insights into the molecular mechanism of translation at the next level of understanding but also allow us to answer long-standing questions e.g. how exactly the physicochemical environment (temperature, ions) or auxiliary factors impact translation. It will also provide new means to study the inhibition mechanisms of antibiotics.

Keywords: cryo electron microscopy,ribosome,protein synthesis,free energy landscape,cell free translation
TrendS and Uncertainties in Mercury (Hg) Atmospheric Chemistry (SUMAC)

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: Spain,France
Call: MSCA Postdoctoral Fellowships 2022 (HORIZON-MSCA-2022-PF-01, 2022)
Start date: 2024-01-16
End date: 2026-01-15
Duration (months): 24.0
Total project cost (EUR): 181152.96
EU funding (EUR): 181152.96
Participants: 2
Project status: SIGNED

Anthropogenic emissions of the toxic heavy metal mercury (Hg) threaten human health and ecosystems. The elemental form of emitted gaseous mercury, Hg(0), can be transported globally in the atmosphere due to its long lifetime of 4–6 months, but upon oxidation it forms soluble divalent mercury, Hg(II), which is rained out within days. However, there are many uncertainties associated with atmospheric Hg chemistry, leading to uncertain predictions of its fate and ecosystem impacts. Additionally, it is unknown how Hg cycling has been affected by recent, global change-induced trends in atmospheric oxidants (e.g., ozone and halogens). To address these knowledge gaps, the interdisciplinary SUMAC project will train the experienced researcher (ER) to integrate the latest knowledge from laboratory kinetics, computational and isotope chemistry, and field measurements into a global atmospheric Hg model, GEOS-Chem. By applying statistical methods from the field of global sensitivity analysis, the ER will identify the key chemical reaction rates that contribute the most to the uncertainty in the atmospheric Hg lifetime. Using Bayesian inference methods, the ER will develop constraints from field measurements for these reaction rates, establishing a new chemical mechanism for atmospheric Hg models. With the refined Hg chemical mechanism, the ER will conduct historical and future simulations to evaluate temporal trends in the Hg chemical lifetime and resultant impacts on Hg dispersion and deposition. By being the first study to quantify the influence of atmospheric chemistry on observed Hg trends, SUMAC will support the effectiveness evaluation of the Minamata Convention on Mercury, an international treaty aimed at reducing Hg emissions. Aside from the breakthrough research outcomes, SUMAC will strengthen the capacity of Hg modelling within Europe through the ER’s training activities, knowledge transfer to host institutions, open-access model development, and outreach.

Keywords: mercury,modelling,chemistry transport model,halogens,ozone,global sensitivity analysis,bayesian inference,climate,minamata convention
Performing arts in a new era: AI and XR tools for better understanding, preservation, enjoyment and accessibility (PREMIERE)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Culture, creativity and inclusive society
Theme: Culture, creativity and inclusive society
Destination: Innovative Research on the European Cultural Heritage and the Cultural and Creative Industries
Action type: Research and Innovation actions
Countries involved: Greece,Netherlands,Spain,Cyprus,Portugal,France
Call: Preserving and enhancing cultural heritage with advanced digital technologies (HORIZON-CL2-2021-HERITAGE-01, 2021)
Start date: 2022-10-01
End date: 2025-09-30
Duration (months): 36.0
Total project cost (EUR): 3928630.0
EU funding (EUR): 3928630.0
Participants: 13
Project status: SIGNED

PREMIERE seeks to modernize the performing arts focusing on dance and theater by using advanced digital technologies to support the whole lifecycle of performances: from their production and curation by both amateurs and professionals, to their delivery and understanding from the audience, as well as their analysis and interpretation by art scholars. In doing so, PREMIERE will contribute to the following general goals: 1) Broaden accessibility to audiences that cannot attend live performances due to physical distance (international audience), health reasons (e.g. elderly, reduced mobility, immunocompromised), or economic reasons (low income). 2) Enhance the understanding of present and past performances by audiences with diverse cultural, social, historical and educational backgrounds. 3) Enrich the creative process by adding new elements, dimensions and capabilities, offered by advanced digital technologies, while enabling international (and therefore inter-cultural) collaboration. 4) Increase the visibility of performances by supporting both spectators in searching for relevant content and producers/curators in communicating their work to the most relevant audiences. Accordingly, the overall objective of PREMIERE is to develop and validate a comprehensive ecosystem of digital applications, powered by leading edge AI, XR and 3D technologies, designed to fulfill the needs of diverse end-user communities involved in the main stages of the lifecycle of performing arts productions, including amateur and professional performers, performance art producers and curators, performance art spectators and scholars.

Keywords: vr and theater,vr and dance,ai theater,ai dance