Data-Gouv-ML/pcri-actions-marie-curie-participations-et-projets-laureats huggingface dataset:
Projet Deterministic6G-V2X (Horizon Europe, appel à projets 2024)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Information Science and Engineering
Statut du projet : SIGNED

The Deterministic6G V2X project addresses the growing demands of autonomous driving technologies, which require substantial processing power as Connected and Automated Vehicles (CAVs) manage vast data streams and make real-time decisions. This involves processing extensive data from sensors like lidar, radar, and cameras, and integrating this information with data from other vehicles via V2X communication, enhanced by AI algorithms for effective decision-making. However, current vehicle processing capabilities are inadequate for the large data volumes generated by V2X applications. While 5G networks have integrated computing capabilities through Mobile Edge Computing (MEC), 6G networks aim to further embed AI and advanced networking across the Local-Edge-Cloud (LEC) continuum, enhancing processing and decision-making. The Deterministic6G V2X project envisions automated vehicles connected to 6G networks, enabling cooperative processing and task distribution across the network to maintain reliable communication, computing, and control within bounded latency. This requires a deterministic design of 6G networks, ensuring predictable and reliable interactions between vehicles and the network. Our holistic approach to deterministic 6G-V2X systems considers not just communication latency, but also computing and control latencies within the LEC continuum, optimizing processing unit selection based on computational power, bandwidth, and latency needs. This design aims to enhance the reliability, efficiency, and scalability of V2X systems and autonomous vehicles, advancing the seamless integration of next-generation networks.

Mots clés : v2x, deterministic communications, local edge cloud continuum, connected and autonomous vehicles, intelligent transportation systems

Participants :
- Université Miguel-Hernández (Espagne) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 194074.56 €
Projet SemanticV2X (Horizon Europe, appel à projets 2023)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Information Science and Engineering
Statut du projet : SIGNED

Vehicle-to-Everything (V2X) communications are key for the transition towards a Connected and Automated Mobility (CAM) that is essential to accomplish the EU Green Deal vision of a safer, more efficient, and sustainable transportation. Like any existing communication system, current V2X communications focus on the reliable and timely transmission of signals without considering the relevance of the transmitted information. Such relevance-agnostic approach can lead to the transmission of unnecessary data that will challenge the scalability of V2X networks, especially in light of the increasing amount of V2X data that will be produced and consumed with the mass-deployment of Connected and Autonomous Vehicles (CAVs). In the SemanticV2X project, we take inspiration from the human language to redesign V2X communications by proposing a paradigm shift that makes the semantics of the information the foundation of the V2X communication process. We will capitalize on the semantic processing capabilities natively available in CAVs to develop a novel set of analytical and numerical semantic models that determine the relevance of the information for the intended receivers considering the target application(s) and leveraging a knowledge-driven representation of the communication context. SemanticV2X will leverage the semantic models to develop a novel semantic and goal-oriented V2X communication paradigm where CAVs curate the transmitted information based on its relevance for the intended receivers. The impact of semantic V2X communications on the scalability of V2X networks, as well as on connected and autonomous driving, will be assessed using a unique and advanced CAM simulator, system-level V2X simulations, and novel semantic KPIs. We estimate that semantic V2X communications can triple the capacity of V2X networks, effectively addressing the massive connectivity demands of CAM and contributing to the realization of its economic and societal benefits.

Mots clés : v2x, vehicle to everything, semantic communications, connected and automated mobility, connected and autonomous vehicles, intelligent transportation systems

Participants :
- Université Miguel-Hernández (Espagne) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 165312.96 €
Projet VIRULENCE (Horizon Europe, appel à projets 2022)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Environment and Geosciences
Statut du projet : CLOSED

The secret behind a successful pathogenic bacteria lies on achieving the perfect balance between virulence and resistance. Virulence genes (VGs) and antibiotic resistance genes (ARGs) can be co-localized in the same mobile genetic element, and thus can be transmitted together in a single horizontal gene transfer event. In the last decades, the number of bacteria carrying VGs and ARGs has increased significantly, and their dissemination is amongst the greatest global threats to human health. These genes are released into the environment during the discharge of treated wastewater and via the recycling of organic waste products. Considering that human, animal, and environment health are interconnected under the One Health concept, limiting their dissemination into the environment by implementing effective waste/wastewater treatment technologies is a major option for limiting the emergence of these pathogens. Despite the research efforts focused on ARGs, the spread of VGs has barely been studied, omitting a huge problem that cannot be separated from antimicrobial resistance. This proposal will address both fundamental and applied aspects of the problematic. Fundamentally, this proposal will provide a more comprehensive overview of the diversity of VGs (and their co-occurrence with ARGs) in the wastewater treatment network and will study their (co)transferability within complex microbial communities. In addition, this project will study, for the first time, the fate of VGs (and their co-occurrence with ARGs) during/after waste/wastewater treatment, also assessing the impact of different operational parameters on their mitigation. Particular attention will be paid to the impact that potential approaches allowing resource recovery (e.g., nutrient and carbon recovery through manure/sludge application as fertiliser) on VGs/ARGs dissemination. With the emergence of superbugs being one of the main human health threats that we face, the importance of this proposal is obvious.

Mots clés : microbiology, resource recovery, antimicrobial resistance genes, virulence genes, wastewater, manure, sludge, wastewater treatment, solid waste treatment, waste valorisation, shotgun metagenomics

Participants :
- Institut national de recherche pour l'agriculture, l'alimentation et l'environnement (France) — Coordinator, beneficiary, Recherche, subvention : 211754.88 €
Projet SEEDITING (Horizon Europe, appel à projets 2023)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Environment and Geosciences
Statut du projet : SIGNED

Over 80% of human food relies on plants, but up to 40% of crops are lost to pests and diseases. Chemical pesticides have boosted yields but pose health and environmental risks. To address this, the EU aims to replace 50% of pesticides with biological solutions by 2030. As a result of hundreds of millions years of coevolution, plants host a diverse microbiota coming from soil, offering biotechnological potential. Exploring plant-microbe and microbe-microbe interactions can revolutionize agriculture, enhancing food security. The discovered plant-beneficial microbial interactions could be used to generate tailored microbial communities, capable of protecting plants and reducing the need for pesticides. CRISPR-Cas derived genetic tools to edit the plant seed microbiome in order to decipher the main microbial interactions affecting plant health. SEEDITING aims to adapt these tools, analogous to reverse genetics, from simplified synthetic bacterial communities to native seed microbiota. The main outcomes of the SEEDITING project will be to master an efficient tool for microbiome editing on SynComs (WP1) and to deploy this editing tool on extracted seed natural microbiota (WP2) to observe the consequences of editing on microbiome dynamics and microbial interactions in vitro. Finally, I will assess the impact of seed microbiota editing on the microbial transmission rates to the seedlings and the resulting plant phenotypes (WP3). This project will lead to major breakthroughs in microbiome sciences and plant-microorganisms interactions in agriculture by generating three main outputs opening new research avenues: 1) Validation of a microbiome editing tool transferrable to multiple ecosystems to decipher microbial interactions in natural communities. 2) Identification of microorganisms responsible for the modulation of host phenotypes. 3) Identification of microbial functions responsible for the phenotypes or involved in host colonization and survival.

Mots clés : microbial interactions, plant microbe interactions, microbiome editing, crispr cas genetic tools, metagenomics, microbial ecology

Participants :
- Institut national de recherche pour l'agriculture, l'alimentation et l'environnement (France) — Coordinator, beneficiary, Recherche, subvention : 211754.88 €
Projet LIGHTSUPGEL (Horizon Europe, appel à projets 2022)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Chemistry
Statut du projet : SIGNED

The overarching scientific goal of the LIGHTSUPGEL study is to design and synthetize novel reversible photo-switchable azobenzene and bis(urea)-based supramolecular gels, and to develop a super-resolution microscopy-based methodology to visualize the self-assembly and disassembly process in real-time with the aim of unravelling their underlying mechanisms. The cutting-edge combination of super-resolution STED and FLIM microscopies, together with environment-sensitive fluorescent probes, will be employed to spatially controlled photo-switch the gelation and de-gelation, and for first time, simultaneously monitor the process with nanoscopic resolution. Furthermore, the application of this new knowledge and novel photo-switchable gels in gel-mediated drug crystallization, will be explored. The possibility of light-triggered drug crystal harvesting photo-switchable gels offers, will be the first ever described non-invasive and reversible method to harvest crystals from gels. This new technology will mean a huge advance in the field of gel-phase drug crystallization, bringing it closer to its industrialization. By completing this ambitious multidisciplinary work, the applicant will be in an excellent position to create cross-disciplinary collaborations with research groups and industry across Europe and to becoming an independent researcher himself.

Mots clés : supramolecular gels super resolution microscopy photo switchable gels sted flim drug crystallization

Participants :
- Université de Grenade (Espagne) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 181152.96 €
Projet CharValues (Horizon Europe, appel à projets 2023)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Mathematics
Statut du projet : SIGNED

Research will be conducted on character theory of finite groups, specifically on characters' values and fields of values. Two new ambitious problems will be investigated. One is a global-local problem, concerning irreducible characters of a group and of his Sylow normalizers, and it will be investigated using machine learning methods. The other consists in searching for a family of irreducible characters which "behaves well" in relation with elements of prime power order. My research will have a considerable impact in the field of character theory and it will have possible applications in other fields of group theory. The use of of machine learning methods in my research may have an impact extending beyond group theory, as it could suggest a similar use in other fields of mathematics.  Research to be conducted in Kaiserslautern, under the supervision of prof. Malle, eminent researcher in the field of character theory of finite groups of Lie type. Training on machine learning to be conducted in the CS department of the hosting university. Further training will be conducted on character theory of non-abelian simple groups, and possibly as a teaching assistant in group theory.

Mots clés : finite groups, character theory, characters field of values, character degrees, sylow subgroups, galois mckay conjecture, application of machine learning

Participants :
- Université de Technologie de Kaiserslautern (Allemagne) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 173847.36 €
Projet ENIOS (Horizon Europe, appel à projets 2022)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Information Science and Engineering
Statut du projet : SIGNED

Wireless technology has become a fundamental component of human daily life in societies. It is expected that by 2030, the demand for data rates will reach 1 Tb/s due to the increase in simultaneous wireless connections: almost 1000 times more than 5G technology. Although 5G wireless networks are now a reality and, undoubtedly, a transformative factor for both society and the economy by delivering an unprecedented fabric of massive connectivity to millions of users and interconnected devices, they cannot efficiently support such high data traffic in the future due to their limited spectral efficiency (around 30 bps/Hz). To tackle this issue, 6G technology is envisioned to attain spectral efficiencies of around 100 bps/Hz with ultra-low latency to support diverse applications. One of the most promising approaches to enable true Smart Radio Environments with 360º coverage is based on the concept of simultaneous transmitting and reflecting intelligent omni-surfaces (STAR-IOSs). In STAR-IOSs, the incident wireless signals on a patch-array or a metasurface-based structure can be (at the same time) reflected by and transmitted through the STAR-IOS. While STAR-IOS technology has the potential to be a key enabler for new use cases in 6G, it is yet to be understood how its true electromagnetic nature will affect the fundamental limits of STAR-IOS communications and impact their practical applications. The key goal of ENIOS project is to create and validate physically-motivated mathematical models and tools for STAR-IOS communications, that can be used for realistic system design in 6G communications. This will be accomplished by integrating tools from multivariate statistics, electromagnetics, and information theory. Aspects like (i) Accurate modeling for practical STAR-IOS communications;(ii) Mathematical tools for performance analysis and system design of practical STAR-IOS communications; and (iii) New architectures for STAR-IOS communication, will be addressed in ENIOS.

Mots clés : communication theory, information theory, 6g communications, intelligent communications, metasurfaces

Participants :
- Université de Grenade (Espagne) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 165312.96 €
Projet PlantNetGem (Horizon Europe, appel à projets 2021)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Social Sciences and Humanities
Statut du projet : SIGNED

The arrival of the Romans in large parts of current Europe had a major impact on society, with the creation of a new transport network and the development of cities being two of the most significant and lasting changes. However, so far, little work has been done to quantify and understand their connection, how this developed and its lasting consequences. Through the study of imported/introduced food plants into the provinces of Germania in the Roman period, PlantNetGem aims to contribute to a better understanding of foodways and the role of transport and commerce in the development of the population nuclei in this area. It will apply a novel, interdisciplinary approach, combining archaeobotany, computational archaeology and data science through practical training by the supervisory team that pioneered part of the proposed methodology. The project will start by creating a geodatabase where archaeobotanical and archaeological information from the study area will be stored. These will provide the analytical basis to identify which food plants arrived and when, who had access to these and the reasons why. Network science will be applied to reconstruct settlement connectivity in relation to a) their access to the introduced food plants, and b) their position within and access to the Roman transport network. Agent-Based Modelling and statistical analyses will be applied to further allow testing hypotheses concerning settlement position and hierarchy in relation to commerce to ultimately evaluate the role of the ancient transport network in the distribution and importance of urban centres and analyse to which degree these patterns have endured in time up to the modern period. PlantNetGem builds upon the candidate’s solid expertise and involves training on big data management, network analysis, agent based modelling and associated geostatistical analysis to equip her with innovative skills that will add a new dimension to her analytical potential and boost her career.

Mots clés : archaeobotany, food plants, trade, urbanisation, germania, roman period

Participants :
- Institut Català d'Arqueologia Clàssica (Espagne) — Coordinator, beneficiary, Recherche, subvention : 181152.96 €
Projet SIGNATURE (Horizon Europe, appel à projets 2021)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Social Sciences and Humanities
Statut du projet : SIGNED

SIGNATURE aims to investigate the long-term settlement and land use dynamics that shaped the cultural soilscapes of the Levant, with a particular emphasis on revealing new archaeological sites that have been obscured by recent agricultural encroachment and abrupt land disturbances. The study area encompasses the endangered archaeological landscapes of the Bekaa Valley in Lebanon and its adjacent fertile plains between the Litani and Orontes rivers. As an aftermath of the Lebanese Civil War and the long-lasting conflict spillovers that followed, the traditional agronomic landscapes of the Bekaa were severely transformed by agricultural autarky. The scarce initiatives that are set in place to map vulnerable heritage primarily focus on well-known, monumental sites such as the UNESCO complex of Baalbek. Other fragile and less visible archaeological and landscape features such as eroded earthen mounds or tells are largely under-represented. SIGNATURE combines Big Earth Observation Data and geoarchaeological signatures in computational workflows to 1) accurately map and predict the location of anthropogenic soils and landforms, 2) monitor historical and present-day land use trends, and 3) identify acute landscape transformations affecting the preservation of vulnerable archaeological and heritage assets. A key aspect of the project methodology is the integration of multi-source and multi-temporal satellite data in artificial intelligence procedures, coupled with ground and high-resolution soil proxies in advanced geostatistical workflows. SIGNATURE will produce and share a set of comparable data and reproducible tools for the study and management of endangered cultural landscapes, likely to be adapted and implemented by scholars and Cultural Heritage practitioners working in conflict and post-conflict regions.

Mots clés : cultural soilscapes, endangered cultural heritage, geoarchaeology, big earth observation data, artificial intelligence, geostatistics, levant and the middle east

Participants :
- Institut Català d'Arqueologia Clàssica (Espagne) — Coordinator, beneficiary, Recherche, subvention : 181152.96 €
Projet PreciVision (Horizon Europe, appel à projets 2024)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Life Sciences
Statut du projet : SIGNED

The spatial resolution of insect eyes has historically been regarded as implausibly poor. Considering only the static optic apparatus of the compound eye, many scholars thought that insects could only see as many “pixels” as the eye had ommatidial lenses – depending on species, some dozen to a few thousand. If true, this would render insects virtually blind to many fine-grained biological signals supposedly directed at them, such as the intricate patterns on many flowers. However, the postdoctoral researcher discovered in field experiments that bees’ ability in detecting and identifying flowers from a distance far exceeds these theoretical limits. Correspondingly, recent breakthroughs in visual physiology indicate that active-sensing strategies, scanning algorithms and photoreceptor movements can render insect vision an order of magnitude sharper than the optical apparatus suggests. For the first time, we explore such hyperacuity in a real-life setting: the detection and identification of floral colour patterns by pollinating bees, using state-of-the-art laboratory experiments of hyperacuity. The ecological validity will be tested using the colour patterns of iconic food-deceptive orchids and other conspicuously-patterned flowers. This interdisciplinary approach, linking the fellow’s expertise in wildflower pollination with the host’s track record in insect sensory biology, makes use of cutting-edge methodologies such as lab-based psychophysics experiments, AI based-analyses of insect flight, radar-tracking and motion-sensitive cameras at wildflowers to unravel the enigma of why flowers exhibit the striking fine-grained patterns they often do. The project will generate a major step change in our understanding of biological signalling and interspecies communication, unveiling how active sensing can generate hyperacute vision, its benefits in the economy of nature, and explaining the evolution and diversity of floral colour patterns.

Mots clés : plant pollinator interaction, plant animal communication, multimodal signals, long range communication, plant ecology

Participants :
- Queen Mary University of London (Royaume-Uni) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 276187.92 €