Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
PRESERT: linking prefrontal cortex, serotonin transporter and social cognition. (PRESERT)

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: 2025-04-01
End date: 2027-03-31
Duration (months): 24.0
Total project cost (EUR): 172750.08
EU funding (EUR): 172750.08
Participants: 1
Project status: SIGNED

Neuropsychiatric and neurodevelopmental disorders are a heterogeneous group of mental diseases affecting about 1 billion people worldwide. Common alterations are in the cognitive and social domains, having a critical impact on the public health, daily life, and long-term outcomes of affected patients. Unfortunately, efficient pharmacological interventions are still missing. The serotonin transporter (SERT) re-uptakes serotonin after synaptic release and is an important clinical target. SERT is widely expressed in the prefrontal cortex (PFC), an area profoundly engaged in socio-cognitive functions, and can be targeted by inhibitors -drugs acting by blocking the transporter- or by releasers- drugs acting as a substrate of SERT and then reversing its transport direction. The SERT releaser MDMA showed promising results for treating social dysfunctions in post-traumatic stress disorder and autism spectrum disorders and its pro-social effect seems dependent on SERT-reverse transport. Considering the efficacy of the SERT-releaser MDMA in modulating social dysfunctions, together with the need of SERT-reverse functions in mediating MDMA pro-social effects, and the role of the PFC in the regulation of socio-cognitive functions, the aim of PRESERT is to evaluate the impact of SERT on social cognition in mice. To achieve this overarching goal, PRESERT is divided into three specific objectives: i) investigating the impact of the PFC-expressed SERT on social cognition, ii) identifying the origin and connectivity of the underlying SERT-expressing circuits, and iii) evaluating if social cognition can be differentially modulated by the reverse transport (i.e. “efflux”) or the simple inhibition of SERT. As a direct consequence, PRESERT has the potential to link SERT, its molecular functions, and the underlying brain circuits to specific aspects of social cognition setting the ground for the development of innovative treatments for neuropsychiatric disorders.

Keywords: serotonin transporter efflux social cognition prefrontal cortex serotonin
Electric solar wind Sail doctors (E-Sailors)

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: Information Science and Engineering
Countries involved: Estonia,Finland,Germany,Italy,Sweden,Latvia
Call: MSCA Doctoral Networks 2024 (HORIZON-MSCA-2024-DN-01, 2024)
Start date: 2025-11-01
End date: 2029-10-31
Duration (months): 48.0
Total project cost (EUR): 4575472.83
EU funding (EUR): 4348707.39
Participants: 13
Project status: SIGNED

The Electric solar wind Sail doctors (E-Sailors) is a challenge-based Doctoral Network that aims to bring Electric solar wind sail (E-sail) from low Earth orbit (LEO) demonstration missions to the operational environment of the solar wind. It is delivered by 8 universities in cooperation with FMI, where E-sail was invented, and 4 SMEs. E-sail is a highly innovative and potentially disruptive propellantless propulsion system. An operational E-sail consists of hair-thin and kilometres-long wires, or tethers, which are charged at a high voltage creating an electrostatic sheath (electric sail) which deflects solar wind particles and generates the propulsive effect in interplanetary environment. Successful and rapid development and deployment of the technology will ensure EU's leadership in the exploration and exploitation of deep space, the next commercial space frontier. To advance E-sail, we will implement 15 PhD projects to: 1) Develop mission and experiment designs for demonstrating the E-sail in solar wind and for utilizing the E-sail for visiting small Solar System bodies and potential interstellar objects; 2) Design state-of-the-art solar wind propulsion systems and their components; 3) Design nanospacecraft (~15 kg) platform and subsystems for control, navigation, communications and operations; 4) Establish an open source research community for E-sail modelling and mission design software. In doing the above, we will achieve the following training objectives for our doctoral candidates: 1) Equip them with core scientific skills and specialised knowledge in designing experiments for demonstrating space technologies and developing space missions; 2) Provide them with a wide range of transferrable skills, such as Open Science and FAIR, communicating science to public, advocacy, networking etc.; 3) Develop their business and entrepreneurship skills, such as IPR management, preliminary business planning, pitching to investors, starting start-ups.

Keywords: propellantless propulsion,coulomb drag propulsion,electric solar wind sail,in orbit demonstration missions,space science,deep space technology
HYBRID TANDEM CATALYTIC CONVERSION PROCESS TOWARDS HIGHER OXYGENATE E-FUELS (E-TANDEM)

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: Research and Innovation actions
Countries involved: Spain,Germany,Denmark,Netherlands,Austria,Croatia,South Africa,Saudi Arabia
Call: Hybrid catalytic conversion of renewable energy to carbon-neutral fuels (HORIZON-CL5-2021-D3-03, 2021)
Start date: 2022-11-01
End date: 2026-04-30
Duration (months): 42.0
Total project cost (EUR): 3334885.0
EU funding (EUR): 3334885.0
Participants: 12
Project status: SIGNED

Carbon neutral, high-energy density e-fuels are crucial to de-fossilize long-haul transport. Mildly oxygenated compounds such as C5+ (higher) alcohols and their ether derivatives hold the promise to overcome limitations of known e-fuels, such as non-oxygenated Fischer-Tropsch hydrocarbons or heavily oxygenated methanol and DME, but no process exists for their effective production. The project aims to develop a disruptive route wherein CO2, water and renewable power are converted to higher oxygenate e-fuels in a once-through hybrid process integrating three major catalysis branches: “electrocatalysis” is applied in a robust high-pressure CO2/H2O co-electrolysis step to produce e-syngas (H2/CO), which is converted in a single-reactor, slurry-phase process combining “solid thermocatalysis” for linear hydrocarbon synthesis and “molecular chemocatalysis” for in situ oxo-functionalization via reductive hydroformylation. In this process, integration of catalytic functionalities in tandem, alongside an engineered interfacing of high- and low-temperature conversion steps and energy unintensive membrane separation technologies, offer a blueprint for superior atom and energy efficiencies. The project will demonstrate the new e-fuel production process at bench-scale, and assess its capacity to cope with fluctuating energy inputs. Moreover, e-fuel formulation and life-cycle aspects are covered to fully realize the potential of the higher oxygenate e-fuel to distinctively unite excellent combustion properties (high cetane), exceptional reduction of tailpipe soot emissions, advantageous logistics as liquid at ambient conditions and compatibility with current-fleet fuel infrastructure and engine technologies, with emphasis on applications as diesel replacement in heavy-duty marine transport. An exploitation plan will be created together with international stakeholders, to consolidate EU’s capacity to export advanced e-fuel technologies to areas with vast green energy potential.

Keywords: electric fuels drop in synthetic fuels process intensification cascade catalysis marine transport
DAC: Freight’s intelligent transformation (DACFIT)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Climate, Energy and Mobility
Theme: Public-private partnerships
Destination: Europe's Rail
Action type: Coordination and support actions
Partnership: EU-RAIL (JU-JTI)
Countries involved: Germany,Poland,Hungary,Czechia
Call: DAC FLEET RETROFITTING AND RETROFIT CAPACITY PLAN (HORIZON-JU-ER-2023-01, 2023)
Start date: 2024-10-15
End date: 2026-10-14
Duration (months): 24.0
Total project cost (EUR): 1848597.57
EU funding (EUR): 1499326.0
Participants: 8
Project status: SIGNED

Digital Automatic Coupling (DAC), as a cornerstone innovation promises a smoother transition to a fully digital rail freight system across Europe. DAC is not just a technological leap; it's a key in meeting the Green Deal's sustainability targets and the ambitious aims of the Digitalization Package 2022. The deployment of DAC is gaining momentum through the European DAC Delivery Programme (EDDP), which is an integral part of Europe’s Rail's (EU-Rail) extensive multi-annual work agenda. This initiative is especially underscored in Europe's Rail flagship project known as FP5 TRANS4M-R in the workstream of fully digitalized freight train operations (FDFTO), dedicated to advancing and rolling out the DAC technology. At the heart of this evolution is the project at hand DACFIT, which pledges its support to the EDDP and the EU-Rail Joint Undertaking. DACFIT's collaboration is not just supportive but pivotal, drawing on a network of recognized experts across technical, managerial, and operational spheres to provide key insights and implementation plans. It plays a critical role in enabling the implementation of the the EDDP's DAC migration roadmap, focusing on both quantitative (numerical) and qualitative (technical capabilities) fleet analysis, retrofit engineering, planning for retrofit capacity, and comprehensive retrofitting implementation plans. In essence, DACFIT's role is to ensure that the transition to a digitalized, automated, and sustainable rail freight network is not just a vision but a reality, aligning with the broader objectives of enhancing Europe's rail freight capabilities while adhering to overarching environmental and digital transformation goals.

Keywords: digital automatic coupling,retrofit,rail freight,migration strategy,rail fleet
Actuation spectroscopy as a new label-free tool to study protein properties in real time (ProAct)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Physical and Analytical Chemical Sciences
Panel description: Analytical chemistry, chemical theory, physical chemistry/chemical physics
Countries involved: Netherlands
Call: ERC CONSOLIDATOR GRANTS (ERC-2024-COG, 2024)
Start date: 2025-04-01
End date: 2030-03-31
Duration (months): 60.0
Total project cost (EUR): 2533250.0
EU funding (EUR): 2533250.0
Participants: 1
Project status: SIGNED

Proteins carry out all functions in living cells, from division, metabolism and transport to programmed cell death. Understanding how protein structure and movements relate to their function is key to advancing biology and medicine. A recent breakthrough, interferometric scattering (iSCAT) microscopy, allows us to observe single protein molecules without using fluorescent labels or chemical tethers. This innovation enables label-free protein studies but currently cannot detect changes in protein shape and structure. With ProAct, I aim to enhance iSCAT microscopy by introducing a new way to detect protein conformational changes. The key idea is to measure how a protein responds to an uneven electric field. When a protein moves in this field, it experiences a dielectrophoretic force that depends on its dipole moment, which is influenced by the protein's structure, conformational dynamics, and interactions. Within the ProAct project, we will focus on quantifying this dielectrophoresis force, as it provides a unique experimental approach to accessing protein dipole moments—previously only computable. By using nanoelectrodes to create this inhomogeneous electric field, we can register the protein motion with iSCAT and discern the protein properties from its trajectory. This combination represents a completely new approach to studying protein behavior without labels, as it enriches the palette of protein properties measurable at the single-molecule level. I expect that the ProAct method will make it much easier to study how proteins move and interact with other molecules. It could also change how we think about proteins in electric fields by helping to understand the role of the dipole moment in protein properties. ProAct pushes iSCAT microscopy into exciting new territory for observing molecular dynamics.

Keywords: single molecule optics,iscat,dielectrophoresis,protein trapping,protein dynamics,label free
Researchers' careers: multiple pathways (MSCA2024BE)

Framework: Horizon Europe — Excellent Science
Programme: Marie Skłodowska-Curie Actions (MSCA)
Theme: Marie Skłodowska-Curie
Destination: MSCA other
Action type: Coordination and support actions
Countries involved: Belgium
Call: Presidency event: MSCA Belgian Presidency Conference 2024 (HORIZON-MSCA-2023-BEL-IBA, 2023)
Start date: 2024-02-01
End date: 2024-11-30
Duration (months): 10.0
Total project cost (EUR): 167078.0
EU funding (EUR): 150000.0
Participants: 4
Project status: CLOSED

In the frame of the Belgian UE Presidency (first semester 2024), the MSCA2024BE conference aims to physically bring together 150 participants on the theme "researchers' careers: multiple patways". To achieve this, a programme has been designed by four research administrations in Belgium, with the support of the European Commission. The conference will take place in Mons on 18 and 19 April 2024.

Keywords: conference,belgium,presidency,researcher,mobility,career,msca,mons
RNA Dynamics prediction with Diffusion Models (RNA-Diffusion)

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: Italy
Call: MSCA Postdoctoral Fellowships 2023 (HORIZON-MSCA-2023-PF-01, 2023)
Start date: 2024-12-01
End date: 2026-11-30
Duration (months): 24.0
Total project cost (EUR): 172750.08
EU funding (EUR): 172750.08
Participants: 1
Project status: SIGNED

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

Keywords: rna dynamics diffusion model deep learning score based generative modelling coarse graining molecular dynamics
Aviation Zero Emissions 2050 (AZERO)

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: Ireland,Netherlands
Call: MSCA Postdoctoral Fellowships 2023 (HORIZON-MSCA-2023-PF-01, 2023)
Start date: 2024-09-01
End date: 2026-08-31
Duration (months): 24.0
Total project cost (EUR): 215534.4
EU funding (EUR): 215534.4
Participants: 2
Project status: SIGNED

Decarbonisation of Aviation will require strict regulation and monitoring to be aligned with the EU Green Deal in making the EU the world’s first climate neutral region by 2050. EU regulation is continuously evolving, affecting key performance indicators (KPIs) used to measure this ambitious objective. The overall goal of this project is to contribute to the decarbonisation of aviation by assessing airline reduction commitments for achieving net zero carbon by 2050. Applying an interdisciplinary approach, the methodology is divided into three stages: 1) Mapping all the GHG KPIs used by European airlines, to set up targets and follow-up measures; 2) Evaluating the actions taken and planned to reach net zero carbon by European airlines, applying a supervised automatic textual analysis to airline ESG reports - a new source of data not used in the past in the airline industry; and 3) Simulate via traffic scenarios, environmental initiatives and airline commitments to estimate the KPIs feasibility using the System Dynamic (SD) method for the timeframes of 2030, 2040 and 2050. AZERO’s simulation method is more advanced compared to previous research as it uses real airline emission data and plans they have committed to in the ESG reports. It will allow for the updating of the model on a yearly basis when new editions of ESG reports become available.

Keywords: aviation,emissions,airlines,eu green deal,carbon neutrality targets,sustainability kpis,co2,ghg
SORT4CIRC - Intelligent Textile SORting for enable CIRCularity (SORT4CIRC)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Food, Bioeconomy Natural Resources, Agriculture and Environment
Theme: Bio-Environment
Destination: Other Bio-environnement destinations
Action type: Research and Innovation actions
Countries involved: Luxembourg,France,Belgium,Germany,Netherlands,United Kingdom,Spain,Slovakia
Call: Circular solutions for textile value chains through innovative sorting, recycling, and design for recycling (HORIZON-CL6-2024-CIRCBIO-02, 2024)
Start date: 2025-12-01
End date: 2028-11-30
Duration (months): 36.0
Total project cost (EUR): 5097767.0
EU funding (EUR): 4999999.0
Participants: 17
Project status: SIGNED

The EU generates 12.6 million tonnes of textile waste per year, with only 22% currently collected for reuse or recycling—the rest often incinerated or landfilled. With mandating separate textile collection across the EU by 2025, the collected amount is expected to increase and we must upscale sorting and recycling capacity and efficiency to ensure sustainable recovery of the material. SORT4CIRC’s overall ambition is to improve value creation and cost efficiency through automated sorting and innovative recycling. This will generate new revenue streams for sorters and recyclers by turning non-re-wearable textiles into valuable feedstock for high-value recycling. The project will strive to unlock the current technological gaps for textile identification and value-chain traceability, while providing an overall sound business case driving circularity within the textile value chain (TVC). The use of modern digital technology in the sorting process will make it easier to achieve comprehensive information of the materials and fabrication process steps and integrate it to automated presorting and sorting for recycling processes. The different & complementary techonolgies are interlinked with each other with interoperable architecture to achieve complete traceability. Results generated are cross-checked to ensure reliability and consistency, to make decision over its optimal channel for reuse or recycling. SORT4CIRC gathers all relevant expertise to develop a systemic transformative solution enabling a traceable, circular textile industry: industrial collector and sorter, design for recycling by allowing disassembly, technology developers (machine learning, Artificial Intelligence (AI), imaging, hyperspectral, NIR, multisensors), recyclers (chemical, thermo-mechanical and mechanical), along with specialists in supply chain traking and tracing, digital passports, blockchain technology and IoT, textile business models, trade and LCC/LCA.

Keywords: textile recycling,circular economy,digital product passport,near infrared,material recognition,multisensor,ai,tokenized radio frequency identification tag