Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Photonic integrated LIDAR and snapshot spectral imagers for scaling up multimodal perception in precision applications (RETINA)

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: Innovation actions
Partnership: Photonics (co-programmed)
Countries involved: Spain,Belgium,Germany,Portugal,France,Switzerland,Netherlands
Call: Advanced imaging and sensing technologies (IA)(Photonics Partnership) (HORIZON-CL4-2023-DIGITAL-EMERGING-01, 2023)
Start date: 2023-12-01
End date: 2027-11-30
Duration (months): 48.0
Total project cost (EUR): 6950773.71
EU funding (EUR): 6186271.93
Participants: 15
Project status: SIGNED

RETINA aims at developing two new photonic-based sensory systems encompassing hardware and software solutions to meet the high added value and customised needs of the healthcare, automotive and agriculture sectors. The project will define a holistic framework for photonic technologies development where specific efforts on next-generation hardware solutions —focused on a novel PIC-based LIDAR solution, and cost-efficient CMOS, InGaAs and QDs snapshot spectral imagers— are coupled with the creation of a digital infrastructure for agile and efficient Machine Learning-based perception algorithms development. RETINA will demonstrate how direct collaboration among photonic solutions developers and manufacturers, data elaboration and AI experts, as well as leading sectorial companies of strategic sectors can steer the agile development of customised sensory systems and their deployment and validation in operational environments. The project will show the potential for adaptability, scalability and transferability of these photonic-based solutions by addressing a range of industrial needs in an efficient and cost-effective manner, namely i) tumorous cells identification and blood perfusion monitoring in surgical applications; ii)advanced ADAS vehicle collision detection systems for autonomous driving; and iii) precision viticulture solutions for hydric status management and prediction of pathogens infections.

Keywords: lidar,snapshot spectral imagers,quantum dot detectors,vnir swir,multimodal perception,image processing,machine learning,cloud edge platform,edge computing,healthcare,automotive,agriculture
Biocatalytic Fluorescence Switch-On Polymerizations for Signal Amplification in Ultrasensitive Diagnostics and Biosensing of Malaria (BioFluoSens)

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: Germany
Call: MSCA Postdoctoral Fellowships 2023 (HORIZON-MSCA-2023-PF-01, 2023)
Start date: 2024-05-01
End date: 2026-04-30
Duration (months): 24.0
Total project cost (EUR): 173847.36
EU funding (EUR): 173847.36
Participants: 1
Project status: SIGNED

Malaria is one of the most catastrophic infectious diseases, causing nearly 250 million deaths in 2021, according to WHO. Although malaria is curable, delayed diagnosis is the leading cause of death in malaria patients. The major obstacle in malaria diagnosis is clinical assessment by conventional methods, which requires well-trained clinicians and expensive equipment. Moreover, point-of-care diagnostic tests are not sensitive enough to accurately detect low levels of parasitemia. Thus, there is an urgent need for a rapid, accurate, and highly sensitive malaria diagnostic method based on the detection of parasite biomarkers in the bloodstream and amplification of weak parasite signals by novel methods. In recent years, atom transfer radical polymerization (ATRP), a controlled radical polymerization, has been studied as an attractive method for signal amplification in biosensing because the chain reaction accumulates monomers in the form of polymers at the site of polymerization. In addition, clinically relevant metalloproteins have been detected using this polymer-based signal amplification technique. Herein, the aim of this work is to develop biocatalytic fluorescent switch-on polymerizations with a triple signal amplification strategy for ultrasensitive diagnostics and biosensing of malaria. The polymerizations will be used in assays for malaria diagnosis based on hemozoin (metabolic byproduct of all Plasmodium species) and in immunoassays that involve antibody-peroxidase conjugates (lateral flow immunoassay, enzyme-linked immunosorbent assay (ELISA), and immunofluorescence staining) for low abundance malaria antigens. The diagnostic platform will be a collective combination and use of multiple independent technologies in a unique design to detect realistic and feasible Malaria biomarkers found in peripheral blood.

Keywords: malaria diagnostic,hemozoin,horse radish peroxidase,atrp,biocatalysis,polymerization based signal amplification,pro fluorescent polymerization,elisa,lateral flow assay,ifa staining,macs tips
The Role of LASP1 and PDLIM4 in Stress Fiber Dynamics and Mechanoresponsive Signaling (LIM-it)

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: Finland
Call: MSCA Postdoctoral Fellowships 2023 (HORIZON-MSCA-2023-PF-01, 2023)
Start date: 2024-07-01
End date: 2026-06-30
Duration (months): 24.0
Total project cost (EUR): 199694.4
EU funding (EUR): 199694.4
Participants: 1
Project status: SIGNED

The LIM domain proteins LASP1 and PDLIM4 are associated with the actin cytoskeleton, and implicated in many diseases. However, their precise molecular functions are poorly understood. Recent protein interaction studies from my host laboratory provided evidence that these two proteins associate with stress fibers (SFs), the contractile actomyosin structures of non-muscle cells. Distant homologues of LASP1 and PDLIM4 are also present in muscle sarcomeres, suggesting a potential structural role of these proteins in SFs. However, several other LIM domain proteins are involved in a wide-variety protein-protein interactions and signaling pathways, suggesting possible roles for LASP1 and PDLIM4 in signal transduction, especially in mediating mechanosensing in SFs. Indeed, previous studies proposed that LASP1 is a possible regulator of translation, whereas PDLIM4 may function as an adaptor between the cytoskeleton and kinases. The aim of my work is to elucidate the molecular functions of PDLIM4 and LASP1 using a combination of proteomics, cell biological, genetic and biochemical approaches. My specific interest is to uncover whether PDLIM4 and LASP1 are structural components of stress fibers, or if they function as mechanosensitive regulators of translation or intracellular signaling. The findings will uncover the roles of PDLIM4 and LASP1 in cytoskeleton organization, potentially providing new insights into various diseases, including cancer. Additionally, understanding the interplay between SF-mediated mechanosensing and translation may reveal new mechanisms by which cells respond to mechanical cues. Overall, this study will broaden our understanding of SF-signaling, and has potential implications for therapeutic interventions in diseases linked to SF-dysregulation.

Keywords: actin,stress fibers,mechanosignaling,cytoskeleton,cell migration,cell adhesion,u2os
GENerate in Europe a Sustainable Industry for Semiconductor (GENESIS)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Digital, Industry and Space
Theme: Public-private partnerships
Destination: Chips for Europe Initiative
Action type: Research and Innovation actions
Partnership: CHIPS (JU-JTI)
Countries involved: France,Finland,Germany,Netherlands,Belgium,Ireland,Norway,Italy,United Kingdom,Malta,Switzerland,Spain
Call: Topic 2 Focus topic on “Sustainable and greener manufacturing” (HORIZON-JU-Chips-2024-2-RIA, 2024)
Start date: 2025-05-01
End date: 2028-04-30
Duration (months): 36.0
Total project cost (EUR): 46626092.49
EU funding (EUR): 13965038.04
Participants: 58
Project status: SIGNED

GENESIS, backed by Horizon Europe, aims to make semiconductor manufacturing sustainable, aligning with the European Green Deal, by minimizing environmental impact with eco-friendly innovations. [Objectives] GENESIS aims to replace harmful materials with safer options, improve waste management, and enhance the use and recyclability of scarce materials. [Innovations] GENESIS introduces innovations in three key areas: • Innovative materials: PFAS-free polymer and eco-friendly gas alternatives complying with EU regulations. • Waste & emissions monitoring: Cutting-edge sensors detect hazardous substances for efficient aqueous and gas waste elimination, reducing environmental and health risks. • Scarce material management: New integration technologies optimize material usage and initiate recycling of scarce materials like Gallium, Niobium, and silicon carbide. [Methodology] GENESIS employs four technical work packages to research sustainable material substitution, emission reduction, and resource management. This modular approach promotes scalability and integration with existing processes, fostering a circular economy in the semiconductor sector. Supervised by management work packages, it quantifies environmental efficiency and engages in dissemination to promote European technological achievements [Outcomes] The project targets a 50% cut in hazardous materials, 30% decrease in emissions and waste, and improved scarce material recyclability, boosting EU semiconductor sustainability and global competitiveness. [Impact] GENESIS supports EU's tech sovereignty and resilience through accurate monitoring and sustainable practices. It positions Europe as a leader in sustainable semiconductor tech, setting new standards for impact-oriented communication and dissemination.

Keywords: green,sustainable,abatement,sensors,equipment,manufacturing,semiconductor,fab,process,chambers,gas,liquid,recycling,reuse,scarce,material,monitoring,pfas
Evolution of the genetic architecture of quantitative traits (EvoGenArch)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Environmental B iology, Ecology  and E volution
Panel description: For all organisms : Ecology, biodiversity, environmental change , evolutionary biology, behavioural ecology, microbial ecology , marine biology, ecophysiology, theoretical developments and mod elling
Countries involved: France
Call: ERC STARTING GRANTS (ERC-2023-STG, 2023)
Start date: 2024-09-01
End date: 2029-08-31
Duration (months): 60.0
Total project cost (EUR): 1443750.0
EU funding (EUR): 1443750.0
Participants: 1
Project status: SIGNED

A major challenge in evolutionary biology is to understand and predict the evolution of phenotypic traits influenced by many genes, a.k.a. quantitative traits, which represent the majority of adaptive traits. For this, we require an accurate knowledge of the ‘genetic architecture’ of a trait, here defined as the statistical distribution of the effects of the genes on the phenotype. However, it has not been possible to firmly check theoretical predictions against empirical data, due to a lack of method to accurately infer genetic architecture. In this project, I will develop novel statistical methodology to accurately infer the genetic architecture of traits in the wild, by leveraging the statistical correlation between neighbouring sites in the genome, or linkage disequilibrium. Using the power of a new linked-read sequencing to obtain information on recombination, I will apply this novel methodology to study the link between the genetic architecture of the traits, and the ‘evolutionary regime’, i.e. characteristics of selective and neutral factors. First, I will perform an in-depth study of the link between selection and genetic architecture on a long-term-studied wild population of common lizards. Second, I will apply my method to analogous traits across more than 20 species to infer their genetic architecture and use knowledge about the evolutionary regime and phylogenetic context, to assess the influence of those components on the variation in genetic architecture. By combining novel methodology with analysis within and across species, this project will provide a firm empirical basis for thinking about genetic architecture. In turn, this understanding of the expected distribution of the gene effects, depending on the evolutionary context, will improve our ability to forecast adaptation, predict phenotype from genomic data and locate genes in diverse fields such as evolution, agronomy, conservation and human health.

Keywords: quantitative genetics,statistical modelling,comparative approach,wild population,zootoca vivipara
High-precision multi-leg Higgs and top physics with finite fields (FFHiggsTop)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Fundamental Constituents of Matter
Panel description: Particle, nuclear, plasma, atomic, molecular, gas, and optical physics
Countries involved: Italy
Call: ERC STARTING GRANTS (ERC-2021-STG, 2021)
Start date: 2022-09-01
End date: 2027-08-31
Duration (months): 60.0
Total project cost (EUR): 1104218.75
EU funding (EUR): 1104218.75
Participants: 1
Project status: SIGNED

Modern experiments at the Large Hadron Collider will yield measurements of several important observables with percent-level accuracy. Similarly accurate theoretical predictions are however needed for comparison with data, unlocking its outstanding potential to test the Standard Model of fundamental interactions, its symmetry braking mechanism and its limitations, hence giving us important hints about new physics. High-precision predictions in high-energy physics are however affected by high complexity. This is currently preventing high-precision studies for crucial interactions, such as multi-particle interactions involving the top quark and the Higgs boson, due to the presence of a large number of external particles and massive external and internal states. At the core of these predictions is the perturbative calculation of scattering amplitudes, which need to be computed at least at next-to-next to leading order to match the experimental uncertainty. This task, for multi-leg massive processes, is beyond the capabilities of existing techniques and tools. FFHiggsTop aims to achieve a breakthrough in high-precision predictions for high-energy scattering processes involving many external particles and massive internal and external final states. This will be achieved thanks to the development of new revolutionary methods for scattering amplitudes, building on top of cutting-edge technology based on finite fields and functional reconstruction techniques. Its main objectives are: 1. Develop ground-breaking techniques for computing scattering amplitudes at higher orders in perturbation theory 2. Perform new high-precision phenomenological predictions for top - anti-top pair production in association with an electroweak vector boson or a Higgs boson. FFHiggsTop will unlock a range of new possibilities for studying fundamental interactions and develop new technology with a broad spectrum of possible applications in physics and other sciences.

Keywords: particle physics,scattering amplitudes,cross sections,loop integrals,finite fields,computer algebra
Circular Integration of independent Reverse supply Chains for the smart reUse of IndusTrially relevant Semiconductors (CIRC-UITS)

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: Made in Europe (co-programmed)
Countries involved: Italy,Germany,Austria,France,Netherlands,Hungary,Switzerland,Spain
Call: Digital tools to support the engineering of a Circular Economy (Made in Europe Partnership) (RIA) (HORIZON-CL4-2022-TWIN-TRANSITION-01, 2022)
Start date: 2023-01-01
End date: 2025-12-31
Duration (months): 36.0
Total project cost (EUR): 5995026.1
EU funding (EUR): 5995026.1
Participants: 22
Project status: SIGNED

Several products embed different types of electronic components, and they are even more fundamental in some of the European strategic markets (e.g. automotive). However, reference producers come from extra-EU countries in the far-east side of the world (e.g. China and Taiwan). Trying to cope with all these challenges and the current semiconductors crisis, the European Commission (EC) published (and in some cases is still working on) specific EU strategies/directives for automotive, e-waste (e.g. Digital Product Passport) and, specifically, semiconductors (e.g. European Chips Act). However, trying to make these sectors more sustainable, circular and resilient, it is mandatory to boost both EoL strategies (e.g. sorting, reuse, remanufacturing and recycling) and intra-EU production through innovations and investments. The current international scenario represents a good chance to decouple the European economy from both natural resource depletion (e.g. Critical Raw Materials - CRMs) and dependency from extra-EU supplies of strategic products. In order to better prove what the benefits are of a joined circular/resilient use of secondary resources, the automotive and mass electronics sectors have been identified as the reference contexts for establishing a set of innovative solutions. To this aim, the CIRC-UITS project will focus on demonstrate the improvement to the circularity of automotive and mass electronics sectors by reuse of semiconductors from different sources, as well as support the reuse & remanufacturing of semiconductors into new (high added-value) components and products in these sectors.

Keywords: circular economy circular supply chains end of life vehicles waste from electrical and electronic equipments industry 4 0
Linguistic statistical learning abilities in bilingual and at-risk population (LingStats)

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: Spain
Call: MSCA Postdoctoral Fellowships 2022 (HORIZON-MSCA-2022-PF-01, 2022)
Start date: 2023-10-15
End date: 2025-10-14
Duration (months): 24.0
Total project cost (EUR): 165312.96
EU funding (EUR): 165312.96
Participants: 2
Project status: SIGNED

The speech signal is a continuous stream, where, contrary to written language, words are not separated. Infants track regularities present in the speech signal and take advantage of such regularities to segment it. This mechanism has been called Statistical Learning and it may underlie later language development outcomes. The present project aims to investigate the linguistic statistical learning abilities during the first two years of life and how they relate to later language development in different infant populations. The current project will identify early neural and cognitive risk markers for developmental disorders and explore how/whether these correlate to statistical learning abilities and other linguistic abilities. By combining outputs of two innovative methodologies (fDCS/EEG and pupillometry), this work will contribute to the improvement of neurocognitive experimental methods suitable to test the mechanisms of language learning and processing in infants and to the foundations for implementing scientific findings in clinical and non-clinical settings.

Keywords: language learning,linguistics,word learning
NEXT GENENRATION OF X-RAY METROLOGY (Next Gen XRM)

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: Germany
Call: Women TechEU (HORIZON-EIE-2022-SCALEUP-02, 2022)
Start date: 2023-06-01
End date: 2024-02-29
Duration (months): 9.0
Total project cost (EUR): 107142.86
EU funding (EUR): 75000.0
Participants: 1
Project status: CLOSED

Due to increased demand for semiconductor devices, low-power electronics, electric vehicles, sensors, IoT (Internet of things), new complex thin film materials are constantly engineered by sophisticated MBE (molecular beam epitaxy), PVD (physical vapour deposition) or ALD (atomic layer deposition). X-rays are well suited to assess the crystalline structure of new thin film materials due to the intrinsic properties of X-rays to probe material on the sub-nanometer scale. These crystal properties (film thickness, composition, strain, stress, interdiffusion and epitaxial relation) are then correlated to the electronic properties. Sirius X-ray Solutions is an innovative German SME with the mission to develop and manufacture high-performance customised X-ray instrumentation for semiconductor and material characterisation applications. After years of R&D, it has developed XRS SEMI, a compact (1m x 1m) advanced X-ray metrology instrument, which combines a newly developed X-ray optic, state-of-the-art detector, fast control software and fast, accurate data analysis software. XRS SEMI is used to assess the crystalline structure of new thin film materials due to the intrinsic properties of X-rays to probe material on the sub-nanometer scale. XRS SEMI has been sold and validated to prestigious research institutions and innovative SMEs such as the Fraunhofer Institute for Photonic Microsystems, the University of Leuven, Lumiphase AG and Soitec. The X-ray metrology instrument, developed by SIRIUS, can measure at least 10 times faster than the competition, with a selling price 2 times lower. It addresses the growing niche market (200mm wafers) within the semiconductor market of X-ray metrology for MEMS, photonics and sensors. Within the WomenTechEU programme Sirius X-ray Solutions will finalise and integrate the software toolbox, based on machine learning and theoretical models' simulation, into the Sirius XRS platform to optimise the software's analytical performance.

Keywords: x ray metrology,mems,photonics,semiconductor