Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Artificial Intelligence for in vitro fertilisation. (AI4IVF)

Framework: Horizon Europe — Innovative Europe
Programme: European innovation ecosystems
Theme: Elevating the scalability potential of European business
Destination: Elevating the scalability potential of European business
Action type: Coordination and support actions
Countries involved: Poland
Call: Women TechEU (HORIZON-EIE-2022-SCALEUP-02, 2022)
Start date: 2023-07-01
End date: 2024-12-31
Duration (months): 18.0
Total project cost (EUR): 107142.86
EU funding (EUR): 75000.0
Participants: 1
Project status: CLOSED

At MIM Solutions, we are using artificial intelligence and machine learning to address the worldwide fertility disorder occurring in an increasing number of countries. Specifically, we are developing two solutions - EMBRYOAID (https://www.mim-solutions.ai/embryoaid/) and FOLLISCAN (https://www.mim-solutions.ai/folliscan/) that utilize AI to help couples struggling with infertility to conceive. We have been developing those technologies for 2 years now and we have developed our MVP that are ready to be certified and commercialized. However, this is an enormous organisational, financial and startegic challenge for MIM Solutions. Short about the company: The company is the first spin-off of the Faculty of Mathematics, Informatics and Mechanics of the University of Warsaw. We are committed to combining rigorous scientific research with solutions to real-world problems. We provide organizations with the most efficient and, at the same time, the safest ML technology, remaining at the forefront of scientific research in this field. Founder-led and with the majority of PhDs, MIM Solutions has one of the most experienced teams of AI and ML experts in Poland. Awards: Innovator of the Year Award awarded by the University of Warsaw 2022, Central European BioForum Award 2022 in the BioDigital category.

Keywords: machine learning,deep learning,in vitro fertilization,art,prediction system,recommendation system,embriology,reproductive medicine,artificial intelligence,ivf,women s health,medtech
Fluorescence-based optical phase conjugation through scattering media (FLUO.OPC)

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: France
Call: MSCA Postdoctoral Fellowships 2022 (HORIZON-MSCA-2022-PF-01, 2022)
Start date: 2023-09-01
End date: 2025-08-31
Duration (months): 24.0
Total project cost (EUR): 195914.88
EU funding (EUR): 195914.88
Participants: 1
Project status: SIGNED

Generating a complex optical excitation pattern through biological tissue is of great importance for non-invasive biomedical studies. However, for many biological applications, our ability to control light is greatly limited by multiple scattering and physiological motions. While optical phase conjugation has potential to overcome these challenges, techniques based on fluorescence are still at an immature stage, requiring a single isolated guide star. Exploiting multiple or extended fluorescent guide stars will greatly benefit a wide range of applications, such as deep tissue optogenetics, because of the availability and targeted labeling of fluorescent probes. The goal of this proposal is to achieve active control of light through scattering media using multiple or extended fluorescent guide stars via advanced holographic technique and optical phase conjugation, and test its viability for biological tissue.

Keywords: multiple scattering,wavefront shaping,holography,optical microscopy
Literature - Industry - Society between Colonialism and Globalisation: The Role of Literature and the Corporate Press in the Global Activities of the Bata Concern” (Lit-In-Soc)

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: 2025-04-01
End date: 2027-03-31
Duration (months): 24.0
Total project cost (EUR): 200400.0
EU funding (EUR): 200400.0
Participants: 1
Project status: SIGNED

This interdisciplinary project, titled “Lit-In-Soc: Literature – Industry - Society between Colonialism and Globalisation: The Role of Literature and the Corporate Press in the Global Activities of the Baťa Concern,” examines the intersection of literature, industry, and society through the lens of Bata, the leading Czechoslovak company during its global expansion from the late 1920s to the 1960s. Positioned within the broader framework of modernity studies, literary history, sociology of literature, and cultural studies, this research explores how Baťa utilized literature and corporate media to promote its business model, influence cultural narratives, and construct the identity of the ”new industrial man“. The project aims to address three core research questions: the representation of global expansion in Bata’s literary conception, the functions of literature and media in foreign versus domestic contexts, and the engagement of the Bata exile community in the literary scene. Despite existing research on Bata’s economic, social, and architectural impact, there is a significant gap regarding its cultural and literary dimensions. This research seeks to fill that gap by analysing Bata’s corporate publications, travelogues, and the literary activities of its exile community. By situating Bata as a cultural and colonial agent, this project challenges the prevailing view of Czechoslovakia's relationship with colonialism and offers new insights into the role of modern corporations as cultural influencers in a globalizing world.

Keywords: ba a phenomenon,literature and industry,modernity,sociology of literature,colonialism and postcolonial studies,globalization,cultural studies,corporate press
intelligent Asset Management Platform for Hydropower operation and maintenance (iAMP-Hydro)

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: Ireland,Spain,Cyprus,Greece,Germany,Norway,Romania
Call: Development of digital solutions for existing hydropower operation and maintenance (HORIZON-CL5-2022-D3-03, 2022)
Start date: 2023-10-01
End date: 2026-09-30
Duration (months): 36.0
Total project cost (EUR): 5189303.38
EU funding (EUR): 4151083.74
Participants: 12
Project status: SIGNED

The iAMP-Hydro project will improve the digital operation of existing plants through the development of 6 expected results (R) which will collectively form iAMP - a novel intelligent Asset Management Platform (see result R5 in Fig. 1) encompassing secure open and transparent data sharing protocols (R4) and three novel digital solutions: R1. Condition monitoring and predictive maintenance modelling; R2. Ecological status monitoring and water management; R3. Improved weather and flow forecasting. The full package of digital solutions will be validated at a diverse set of five real-world existing hydropower plants producing evidence for policy making to support the green and digital transition of hydropower (R6). The existing plants include differing power capacities, electro-mechanical equipment type, water end-use, flow and head regimes, climatic conditions, and environmental sensitivities (biodiversity). The project will increase the technology competitiveness of existing hydro by reducing O&M costs by 5-10%, improving generation and revenues, increasing flexibility and data-driven decision making in hydropower operations. It will also increase the market penetration of renewables in the grid by 8.4 TWh, and getting closer to the EU 2030 Climate and Energy targets, and EU green deal. iAMP-Hydro will improve environmental and socio-economic sustainability of the existing hydropower fleet by reducing operating costs by €1 billion per annum, reducing CO2 emissions by 1260 tonnes, creating 10,000 future-proof jobs, and enabling environmentally sustainable flow regulation using digital solutions. The project will advance the scientific basis for hydropower digitalization by developing, validating and providing a roadmap for the further development of 5 new digital technologies. We will produce 10 peer reviewed journal publications and 20 conference publications.

Keywords: hydropower,digital solutions,artificial intelligence,predictive maintenance,sensors,data
GreenRubber - Sustainable Production of Natural Rubber Using Yeast (GreenRubber)

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: Denmark
Call: MSCA Postdoctoral Fellowships 2021 (HORIZON-MSCA-2021-PF-01, 2021)
Start date: 2023-01-01
End date: 2024-12-31
Duration (months): 24.0
Total project cost (EUR): 230774.4
EU funding (EUR): 230774.4
Participants: 1
Project status: CLOSED

Natural Rubber is a very important and widely used industrial raw material, which cannot be replaced by other equivalents because of its unique properties (e.g. durability and insulation). Synthetic rubber produced by petrochemicals, is not only detrimental to the environment, but also cannot replace natural rubber due to its lower quality. Therefore, for many industrial applications (e.g. in car tires), humankind still heavily relies on rubber extracted from the rubber tree, Hevea brasiliensis. However, the demand of natural rubber is continuously increasing due to the fast pace of motorization in Asian countries, like China or India, while production is sensitive to disease outbreaks or weather conditions. For these reasons, to become self-sufficient in natural rubber is within the European strategic priorities. Thus, because both natural and synthetic rubber production is no longer sustainable, there is an urgent need to establish environmentally friendly methods for the synthesis of natural rubber, in alignment with the United Nations Sustainable Development Goals (SDG 9, 11, 12, 13 and 15). To meet this demand, I will apply an interdisciplinary approach to develop a yeast-based cell factory to produce high-quality natural rubber from cheap and readily renewable materials like sugar. My research expertise in molecular biology, polymer bioproduction, and biochemistry, make me the ideal candidate to implement this project. Combining my current knowledge, with the systematic education on metabolic engineering and pathway elucidation that will be provided by the host lab, I will build a unique profile as an expert in polymer bioproduction using microbial hosts. GreenRubber will help me develop and establish an independent international career on harnessing industrial microorganisms (e.g. yeast) to bioproduce polymers for high-end applications such as medical consumables.

Keywords: metabolic engineering,plant specialized metabolism,synthetic biology
Genome editing of noncoding regions to map sequence-function relationships at scale (Seq2Func-NC)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Integrative B iology : from Genes and Genomes to S ystems
Panel description: For all organis ms: Genetics, epigenetics, genomics  and other ‘omics studies , bioinformatics, systems biology , genetic diseases , gene editing, innovative methods and modelling,  ‘omics for personalised  medicine
Countries involved: United Kingdom
Call: ERC STARTING GRANTS (ERC-2025-STG, 2025)
Start date: 2025-10-01
End date: 2030-09-30
Duration (months): 60.0
Total project cost (EUR): 1499511.0
EU funding (EUR): 1499511.0
Participants: 1
Project status: SIGNED

Deciphering how genetic variants lead to disease can advance precision diagnostics and mechanistically informed therapies. Yet, our ability to link variants in the human genome’s vast noncoding regions to phenotypic consequences is highly limited. This stems largely from a lack of experimental evidence on individual variants’ functional effects. Here, we propose to develop and deploy a suite of new genome editing methods to generate functional data for noncoding variants at unprecedented scale. First, we will leverage a prime editing screening platform we have recently established to systematically ask how intronic variants and 5’-untranslated region (5’UTR) variants lead to loss of function (LoF) across dozens of human disease genes. Second, we will interrogate relationships between regulatory sequence variants, transcription factor binding sites (TFBSs), and genomic contexts across diverse cell types using novel methods to link variants to effects on messenger RNA (mRNA) levels. Third, we will uncover new noncoding variants underlying disease by combining variant effect prediction with large-scale functional assessment. Collectively, this work will establish new technologies to experimentally characterize noncoding variants, delineate sequence-function relationships from 100,000s of variant effect measurements, and substantially advance our ability to predict, identify, and engineer noncoding variants of functional importance.

Keywords: functional genomics,human genetics,multiplexed assays of variant effect maves,rare disease,cancer genetics,noncoding variants,splicing,gene regulation,sequence function models,prime editing
Protein Phototermal Optomechanical Analyzer (PROPHOTOM)

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: Netherlands
Call: MSCA Postdoctoral Fellowships 2022 (HORIZON-MSCA-2022-PF-01, 2022)
Start date: 2024-09-01
End date: 2026-08-31
Duration (months): 24.0
Total project cost (EUR): 187624.32
EU funding (EUR): 187624.32
Participants: 1
Project status: SIGNED

Label-free detection and discerning of single proteins is essential to reduce the impact of degenerative diseases (e.g. cancer) by its ultra-early detection as well as to expand our understanding on the processes taking place in living beings. The objective of this project is developing a new technique for the optomechanical label-free detection and characterization of single protein. The working principle of the proposed technique consist on illuminating a protein and transferring its photothermal heating to a suspended membrane on which it is adsorbed. This suspended membrane can mechanically oscillate in drum-like modes, so as the protein transfers its heat to the membrane, its mechanical properties will change, producing a shift in its resonance frequency. Therefore, tracking the resonance frequency as a function of the incident light’s wavelength will allow discerning among different proteins by obtaining their absorption spectra. On the other hand, PROPHOTOM will have a high impact on my career. Implemented at TU Delft and supervised by Prof. Peter G. Steeneken and Dr. Farbod Alijani, this project will allow introducing myself into new subjects which the supervisors master (2D materials and condensed matter physics). Furthermore, the supervisors will benefit from my wide expertise on mechanical resonators for the optical characterization of biological samples, which guarantees the two-way transfer of knowledge. In addition to the scientific training, this project will also provide me different non-scientific skills, increasing my competencies and employability while allowing me developing an international network. Eventually, this project will contribute significantly to Europe’s economic and societal advance providing knowledge in different subjects (biophysics, biochemistry or medicine) and new technologies, contributing to the achievement of the UN’s Sustainable Development Goals (SDG 3 & 9) and Horizon Europe Missions (HEM cancer).

Keywords: optomechanics 2d materials biophysics protein analysis
MULTI-FACETED ASSESSMENT AND OPTIMIZATION OF WELDED STRUCTURAL GREEN STEEL PLATES FOR USE IN EUROPEAN SUSTAINABLE INFRASTRUCTURE (MOWSES)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Digital, Industry and Space
Theme: Industry
Destination: Climate neutral, Circular and Digitised Production
Action type: Research and Innovation actions
Partnership: Clean Steel (co-programmed)
Countries involved: Belgium,Netherlands,Germany,Czechia
Call: CO2-neutral steel production with hydrogen, secondary carbon carriers and electricity OR innovative steel applications for low CO2 emissions (Clean Steel Partnership) (RIA) (HORIZON-CL4-2024-TWIN-TRANSITION-01, 2024)
Start date: 2024-10-01
End date: 2028-09-30
Duration (months): 48.0
Total project cost (EUR): 4581467.75
EU funding (EUR): 4581467.62
Participants: 8
Project status: SIGNED

The main objective of the WeldGreenPlate proposal is to define the conditions for safe use of green structural steels, if possible without the use of critical strategic elements, for European infrastructures made of medium strength (S355) to ultra-high strength (S960) steels. To achieve this goal, the most critical locations in these structures will be investigated: the welded joints and in particular the HAZ. Future green steels will be manufactured using an increased amount of scrap, likely of lower quality and containing higher concentrations of residual elements (Cu, Ni, Cr, Mo, Sn, As, Sb, Pb, Zn, Bi and Co). This will modify the chemical composition of the steel grades and thus the response of the material to thermal cycles, such as imposed by welding. The properties of welded joints will therefore be changed, making it necessary to assess these changes and remedy them, if required. The proposal will investigate modified alloying concepts for the safe application of clean steel in downstream processing and fabrication. It is planned to investigate the application of multiple welding repairs to allow re-use of fabricated components and give the opportunity to have steel solutions with improved CO2 emissions through re-use of fabricated components.The improved or non-degraded weldability will allow to develop new clean steel grades with improved in-use properties, particularly strength and toughness in the welded conditions, through application of state-of-the-art techniques: machine learning, thermodynamic simulations, FEM of microstructural behaviour, supported by advanced analytical techniques. The latest items are innovative tools that will be available to future clean steel grades development. It is in the scope of the project to find the requirements for high-performance structure steels characterized by increased tolerance to contaminants in the scrap, in particular Cu.

Keywords: welding,geen steel,structural steel,s355,s960,toughness,cleavage fracture,cold cracking,cghaz
Spin-wave magneto-ionics for reconfigurable electronics (SMIFRE)

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: Finland
Call: MSCA Postdoctoral Fellowships 2024 (HORIZON-MSCA-2024-PF-01, 2024)
Start date: 2025-04-01
End date: 2027-03-31
Duration (months): 24.0
Total project cost (EUR): 242116.8
EU funding (EUR): 242116.8
Participants: 1
Project status: SIGNED

Spin waves are emerging as a promising medium for information processing. The potential of spintronics in information processing lies in its ability to offer higher speeds and lower power consumption compared to traditional electronic components. Spin waves could accelerate information processing and surpass the limits that transistor-based electronics are approaching. The successful demonstration of a spin-wave logic circuit would validate the feasibility of this technology and pave the way for its wider adoption. However, this technology would require a robust and efficient voltage control mechanism for spin waves which, so far, remains elusive. A promising new development in the field of magnetism is the voltage control of magnetic properties via ionic gating, an area referred to as magneto-ionics. Control of magnetism through reversible ion migration can be achieved with small voltages. When applied to magnonics, it sparks the possibility of controlling spin waves by voltages in on-chip logic devices, thereby setting the stage for high-frequency, energy-efficient, reconfigurable computing. Within this project, I will investigate voltage control of spin waves in low-loss yttrium iron garnet (YIG) films and waveguides by employing Li-ion gating in patterned all-solid-state structures. I will demonstrate two unique ionic gates, one that operates like a battery and provides robust spin-wave control for the programming of logic functions, and another that operates as a supercapacitor offering fast phase control for information processing. Upon successfully developing these control components, I will construct a voltage-controlled 2×2 magnonic coupler by integrating the battery-like gate into two proximal YIG waveguides. This coupler will act as a reconfigurable universal logic gate. Finally, I will integrate multiple voltage-programmable magnonic couplers and magneto-ionic phase shifters to create a programmable all-magnonic logic circuit.

Keywords: magnonics,magneto ionics,spin wave computing
Towards Operational Supermodel Climate Prediction (TOSCP)

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: Norway
Call: ERC PROOF OF CONCEPT GRANTS2 (ERC-2022-POC2, 2022)
Start date: 2023-01-01
End date: 2024-06-30
Duration (months): 18.0
Total project cost (EUR): 150000.0
EU funding (EUR): 150000.0
Participants: 1
Project status: CLOSED

TOSCP will proof-of-concept a radically new approach to climate prediction based on supermodelling. Climate prediction promises reliable information on climate and its extremes for the coming seasons and years. This information is critical to providing climate services that are needed to build a resilient and sustainable society. Unfortunately, predicting climate in the extra-tropics remains a major challenge. Model systematic error is the major limitation. In the North Atlantic-European sector it leads to the strong under representation of the predictable dynamics, compared to unpredictable atmospheric weather patterns. The current approach to account for such errors is to perform a vast number of independent simulations with different models. This is computationally expensive and impractical in an operational context. The supermodel approach developed in the ERC-STERCP project is aptly suited to improve climate prediction. A supermodel combines a set of different models in runtime so that the individual model errors compensate so as to produce a superior model. The approach is extremely effective in mitigating long-standing model errors, and can control the ratio between predictable and unpredictable dynamics. TOSCP will reconfigure a supermodel developed in the STERCP project for climate prediction. The supermodel is based on three state-of-the-art climate models. We will develop new ensemble generation and data assimilation schemes. We aim to demonstrate that supermodel climate predictions greatly outperform the standard approach to climate prediction that is currently used for climate services. Dialogue with users and providers of climate services will ensure the development of an optimal configuration of the new prediction system and its use in operational climate services. This will set the stage for the wider exploitation of supermodel climate prediction, leading to improved climate services for the benefit of society.