Data-Gouv-ML/pcri-actions-marie-curie-participations-et-projets-laureats huggingface dataset:
Projet TARGET-RF (Horizon Europe, appel à projets 2023)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Information Science and Engineering
Statut du projet : SIGNED

In the present day, electromagnetic (EM) signals operating within the radio frequency (RF) range, including Wi-Fi frequencies of 2.4 GHz and 5.8 GHz, and cellular telecommunication spanning from 700 MHz to 2.7 GHz, are becoming increasingly pervasive in indoor and outdoor environments. These signals constitute a prolific and continuous source of RF energy. Harnessing this RF energy holds great potential for powering future distributed electronics. However, before reaching the technology readiness level required for commercial utilization of RF harvesting, numerous factors must be taken into account. Among these considerations, the performance of diodes (rectifiers) is of paramount importance. Indeed, in most cases, the efficacy of the harvester heavily relies on the rectifier. This component ultimately enables switching-type conversions, such as alternating current to direct current (ac–dc) conversions. The most crucial parameter for assessing the rectification capabilities of a diode technology is the short-circuit current responsivity or the voltage responsivity at zero bias. In this context, graphene-based rectifiers have exhibited remarkable characteristics, including a zero-bias voltage responsivity reaching up to 71 V-1. The TARGET RF project will continue to innovate in emerging materials and device architecture. Specifically, it will concentrate on investigating the responsivity of emerging two-dimensional (2D) technologies for rectifiers, particularly focusing on Rectifiers based on various Two-dimensional transition metal dichalcogenides (TMDs).This pursuit aims to enhance the efficiency of converting RF to DC power, particularly in RF low-power density scenarios. TARGET RF (24 months) will be hosted at the Granada University and will l be supervised by Prof. Francisco Javier Garcia Ruiz, an internationally recognized expert in this area, take advantage, hence, the skills of his researcher's team and the infrastructure.

Mots clés : two dimensional 2d materials, metal insulator tmds diodes, rectifiers, energy harvesters

Participants :
- Université technique de Rhénanie-Westphalie à Aix-la-Chapelle (Allemagne) — Partner, associated partner, Enseignement supérieur ou secondaire, subvention : 0.0 €
- Université de Grenade (Espagne) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 165312.96 €
Projet PeriCarb-EFA (Horizon Europe, appel à projets 2022)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Environment and Geosciences
Statut du projet : SIGNED

The year 2022 was a year of catastrophic extreme climatic events at an unprecedented scale. Rivers around the globe drying up, China's extreme heat wave, extreme floods in Pakistan and in the United States, are clear examples of a climate change scenario that is expected to be more and more pervasive in the next years. Despite evidence of the increase in frequency and intensity of extreme events, the effects of the extreme oscillations between droughts and floods on streams carbon cycling are still uncertain. Alpine streams are important contributors of inland water carbon and changes that occur in alpine streams can profoundly alter downstream reaches affecting the global carbon budget and in turn exacerbate climate impact in the future. PeriCarb, EFA aims at understanding how periphyton biofilms community composition changes due to extreme flow change events and the reduction in the recovery time for the microbial community between events. It will link biofilm changes in community composition to changes in carbon cycling and in greenhouse emissions. By linking microbial ecology and carbon biogeochemistry changes in alpine streams PeriCarb will inform on the impact of climate change on global carbon budgets. PeriCarb will constitute a multidisciplinary project joining the applicant's previous experience with the excellence of the host institution and a group of established collaborators. It will provide advances for the field of carbon biogeochemistry and allow the applicant to return to Europe to establish as a researcher.

Mots clés : carbon cycling, ghg emissions, streams metabolism, organic matter, limnology

Participants :
- Université de Bologne (Italie) — Partner, associated partner, Enseignement supérieur ou secondaire, subvention : 0.0 €
- Université de Technologie de Kaiserslautern (Allemagne) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 189687.36 €
Projet Path-B SHM (Horizon Europe, appel à projets 2024)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Information Science and Engineering
Statut du projet : SIGNED

Structural health monitoring (SHM) methods provide a comprehensive approach to the condition-based maintenance of Cultural Heritage (CH) constructions, aiming to extend their lifespan through optimized rehabilitation interventions. While physics-based damage identification is the most effective approach for comprehensive damage assessment, it has well-documented limitations. Specifically, classical methods often rely on a single model of the CH asset, which introduces significant uncertainties in decision-making. To address this challenge, this Action introduces a pioneering SHM paradigm referred to as pathology-based SHM (Path-B SHM) using multi-class digital twins (DTs)—a population of competing, efficient meta-models. The methodology begins with a systematic diagnosis, including site visits supplemented by non-destructive testing (NDT), to identify the most probable structural pathologies the asset may experience throughout its lifespan. High-fidelity scenario-based numerical models are then developed for each identified pathology. To enable real-time damage identification and simultaneous inverse calibration of all scenario-based models, these numerical models are replaced by computationally efficient meta-models constructed using artificial intelligence (AI) tools which form a multi-class DT. The resulting DT is capable of inferring, in quasi real-time, the probability of occurrence of the identified potential damage pathologies and their severity when supplied with continuous monitoring data. If an anomaly is detected, a Bayesian model selection approach identifies the damage mechanism, selecting the meta-model that explains the experimental data with the highest likelihood. This approach, therefore, enables rapid, robust, and comprehensive damage identification. Path-B SHM has the potential to revolutionize and advance the frontiers of SHM, offering unprecedented opportunities for data-informed decision-making in the preservation of CH constructions.

Mots clés : cultural heritage constructions, damage identification, digital twins, monitoring, structural health monitoring, structural maintenance

Participants :
- Université de Pérouse (Italie) — Partner, associated partner, Enseignement supérieur ou secondaire, subvention : 0.0 €
- Université de Grenade (Espagne) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 209914.56 €
Projet TREEGut (Horizon Europe, appel à projets 2024)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Life Sciences
Statut du projet : SIGNED

TREEGut investigates the role of the gut microbiome in reducing hepatic fat and improving cardiometabolic health through a novel intervention combining time-restricted eating (TRE) and exercise in individuals with obesity and metabolic dysfunction-associated steatotic liver disease (MASLD). Innovative and easy-to-implement interventions are necessary to alleviate the burden on healthcare systems and improve patient health affected by obesity-related diseases. The gut microbiome, implicated in disease pathogenesis, presents a promising therapeutic target. TRE, an intermittent fasting method that is effective and easy to implement, shows potential benefits that could be enhanced when combined with exercise. However, the extent of the microbiome's influence on these interventions remains unclear. TREEGut aims to elucidate how the benefits of TRE and exercise on hepatic fat and cardiometabolic health are mediated by changes in the gut microbiome, identifying specific microbial signatures and microorganisms that could inform personalized treatments. Under the supervision of Prof. Jonatan Ruiz at the University of Granada, TREEGut will integrate clinical assessments, gut microbiome analyses, and lifestyle interventions across human and mouse models, using advanced genomic technologies. A key phase of the project includes a secondment at Leiden University Medical Center (LUMC) supervised by Prof. Patrick Rensen, where specialised training on humanised mouse models for cardiometabolic diseases will explore the microbiome's causal role through human faecal transplantation in these models. This project will enhance the applicant's research capabilities and international network, fostering career development in metabolic disease and microbiome research. The findings from TREEGut will guide public health policies and clinical practices, contributing to the development of personalised, effective, and practical interventions to mitigate the impact of obesity-related diseases.

Mots clés : gut microbiome, time restricted eating, metabolic dysfunction associated steatotic liver disease, physical activity, non communicable diseases, obesity, nafld

Participants :
- Leiden University Medical Center (Pays-Bas) — Partner, associated partner, Enseignement supérieur ou secondaire, subvention : 0.0 €
- Université de Grenade (Espagne) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 194074.56 €
Projet MIXFUN (Horizon Europe, appel à projets 2024)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Environment and Geosciences
Statut du projet : SIGNED

Polyfluoroalkyl substances (PFAS) are compounds widely used in commercial and industrial applications. Due to their presence in many household products, they are often found in wastewater effluent and urban runoff, from where they reach other aquatic ecosystems. PFAS present several significant issues associated to their persistence, transport (they have been detected in more than 90% of European rivers); and health effects as endocrine disruptors. The main objective of the MIXFUN project is to understand how PFAS may impact the structure of aquatic microbial communities by favoring organisms capable of degrading them, and to use this information to develop biological systems (microbial consortia) based on organisms with high biodegradation potential in combination with physical conditions (ultraviolet radiation-UVR and temperature) that enhance their capacity. We know that the presence of organic carbon in PFAS molecules could be their Achilles' heel, and that those microbial organisms capable of using this carbon could biodegrade the compounds in a cheaper and more sustainable manner than physico-chemical treatments. Additionally, temperature can influence biodegradation metabolism, while UVR has shown a photodegradative effect on PFAS. Since microorganisms coexist in their natural environment with fluctuations in UVR and temperature, our proposal to create a hybrid system of microbial consortia under various UVR and temperature conditions could yield satisfactory results. To achieve this, we plan to identify mixotrophs and fungi that are favored through a gradient of PFAS-contaminated lakes and subsequently develop mixotroph-fungi consortia. By combining empirical data and predictive models, we will be able to determine the optimal growth and biodegradation conditions for these consortia. As a result, we expect to determine how the use of these consortia can take the degradation of PFAS to the next level, benefiting both human health and ecosystems.

Mots clés : biodegradation, mixotrophs, fungi, polyfluoroalkyl substances, ultraviolet radiation, microbial consortia, environmental pollution

Participants :
- Université de Grenade (Espagne) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 194074.56 €
Projet RAPT (Horizon Europe, appel à projets 2023)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Life Sciences
Statut du projet : SIGNED

The RAPT (lipid dRoplets And PhyTovirus infection) project undertakes an innovative exploration into the potential role of plant leaf lipid droplets (LDs) in the replication of plant viruses, specifically focusing on plant RNA viruses. Lipid droplets, which are ubiquitous organelles derived from endoplasmic reticulum (ER) membranes, play key roles in energy production, membrane biogenesis, and stress signalling. While certain animal RNA viruses utilize LDs for energy or as platforms for viral replication compartments (VRCs), evidence for similar mechanisms in plant RNA viruses remains elusive. The project builds on the previous observations made by the host lab, which suggest a higher abundance of LDs in turnip mosaic virus (TuMV, potyvirus) infected leaves and their spatial proximity to VRCs. The hypothesis is that certain plant viruses, like TuMV, utilize LDs as energy reservoirs for their genome replication, potentially facilitating direct interaction with VRCs. To validate and expand upon this hypothesis, the RAPT project is defined into three primary objectives:  1. Exploring the impact of plant virus infection on LD distribution and lipid metabolism 2. Functional validation of the involvement of plant LDs in the potyvirus infection cycle 3. Elucidating the molecular mechanisms governing the interactions between LDs and TuMV  These objectives address key knowledge gaps regarding the role of LDs in plant virus infection and will focus on potyviruses, mainly TuMV, but other (+) ssRNA virus species of agroeconomic importance such as luteoviruses and poleroviruses will also be studied, with the aim to expand the findings to crops. The results of this project will contribute to the development of broad-spectrum genetic resistances that can be harnessed by breeders to mitigate the adverse impacts of plant viral diseases on agricultural productivity.

Mots clés : plant virus replication and infection, lipid droplets, genetics, lipidomics, mass spectrometry, transgenic organisms, advance imaging, confocal microscopy

Participants :
- Centre national de la recherche scientifique (France) — Partner, associated partner, Recherche, subvention : 0.0 €
- Limagrain europe (France) — Partner, associated partner, Organismes privés (hors enseignement), subvention : 0.0 €
- Institut national de recherche pour l'agriculture, l'alimentation et l'environnement (France) — Coordinator, beneficiary, Recherche, subvention : 211754.88 €
Projet REMIPLASWAS (Horizon Europe, appel à projets 2021)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Life Sciences
Statut du projet : CLOSED

The accumulation of microplastics (MPs) in the environment poses a great threat to the biosphere. Known and demonstrated conventional methodologies used in the treatment of MPs in wastewater have several limitations. Therefore, there is the need to develop new eco-friendly, cost-effective biobased MPs (Polyethylene terephthalate-PET) removal strategies. Microorganisms can transform organic matter as well as remove pollutants through a chain of different catabolic reactions energized by the induction of non-stereoselective enzymes. Hence, this project will be the first attempt to deploy microbial autochthonous consortia as an eco-friendly remediation technique and strategy in the removal of MPs in the wastewaters. However, to overcome the limitations associated with cultivation and identification of MP degraders, I propose the use of a natural microbial consortium that harbours a plastic-degrading microbial community in wastewater after an enrichment process. Thus, in this project, an enhancement of microorganisms with catabolic capacity to transform MPs will be used for the development of a bio-based tailored technology, which represents the promising potential of this project. The overall objectives of this project are to: (1) characterize MPs in wastewater (2) isolate autochthonous consortium of MPs (PET) degraders in a short term enrichment experiment, study the microbial communities participating in MPs removal and identification of key genes in the catabolic process (3) select a microbial consortium with the ability to remove MPs and study of the fate of MPs in batch experiments (4) scale-up the process into a bench-scale bioreactor to develop a bioaugmentation technology with a microbial native consortium based on their ability to degrade MPs. (5) assess the toxicity of the resulting effluent after MPs process (6) verify the implementation and validate the design of the bioreactor, calculating the effectiveness of the equipment through a predictive model

Mots clés : fungi bacteria consortium wastewater microplastics degradation

Participants :
- Université de Grenade (Espagne) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 181152.96 €
Projet CNMA (Horizon Europe, appel à projets 2024)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Physics
Statut du projet : SIGNED

This project aims to advance the field of neuromorphic computing by exploiting novel non-stationary dynamics in spin torque nano-oscillator, called here chiral non-stationary magnonic auto-oscillators. The core innovation lies in the numerical and experimental demonstration of time-modulated electric current (TMEC) stimulation combined with secondary stimuli to induce robust nonlinear excitations capable of sustaining neuromorphic computations. Key features such as short-term memory, echo-state properties and strong non-linear responses are achieved in the GHz frequency range, specifically targeting skyrmion and vortex textures.  The project will focus on optimising CNMA for analogue neural networks by exploring time-dependent stimulation, improving energy efficiency and computational speed. A crucial part of the research will be a close collaboration with the renowned group at the University of Kaiserslautern, where I will receive specialised training in advanced experimental techniques for magnetoresistive and spectral analysis. This will be cross validated with micromagnetic simulations, combining the expertise of the fellow and the host group. The success of the project is also guaranteed by international cooperation with renowned research centres providing samples.  Towards the end of the project, we will numerically demonstrate the scalability of the CNMA system by coupling multiple CNMAs via spin waves in a ferromagnetic strip, mimicking additional neural connections. This approach promises to significantly increase the computational power of CNMA-based reservoir computing systems. Through this partnership, fellow aim to establish a strong international research network, which will open opportunities for long-term collaborations and enhance my position within the scientific community. This extensive cooperation will also play a crucial role in securing future employment within academic institutions or R&D sectors in industry.

Mots clés : beyond cmos technologies, neuromorphic computing, in memory computing, ferromagnetism, spintronics, spin to charge conversion, nano fabrication, condensed matter physics, applied physics

Participants :
- Université de Technologie de Kaiserslautern (Allemagne) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 202125.12 €
Projet MAHOD (Horizon Europe, appel à projets 2022)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Information Science and Engineering
Statut du projet : SIGNED

Meta Analyses of Heterogeneous Omics Data (MAHOD) will establish a framework in which data available in online repositories from previously performed Omics studies (i.e. metabolomics for analyses of small molecule metabolites in biofluids, proteomics for similar studies of proteins, etc.) will be analysed simultaneously using highly interpretable machine learning tools. These tools will reconcile differences in experimental design, demographic compositions, and modality (samples and variables that are not directly comparable). The ultimate goal of this research will be enable new insight into disease states and measure the statistical power based on the wealth of information and replicate samples available online. This will information will be exploitable by researchers in academia and industry, and will benefit the European Research Community by making better use of the data currently available for critical projects, and enable new research directions into diseases that are either poorly treatable or understood.  The framework will be evaluated by an analysis of existing data on a rare disease (narcolepsy), and a much more common disease (long COVID) to ensure that the technology scales from a relatively low volume of information, to a much more challenging "big data" problem. This proposal will be carried out by an experienced researcher (ER) who completed their PhD in chemometrics, or the application of multivariate statistics and machine learning to chemical data. The ER is in a relatively unique position to bridge the gap between their knowledge of information and computer science, and domain knowledge related to the instrumentation required to perform Omics studies. The ER will be supervised by a computer scientist, who is an expert in the field of multivariate analysis and algorithm design.

Mots clés : metabolomics, proteomics, transcriptomics, genomics, multivariate analysis, chemometrics

Participants :
- Université de Grenade (Espagne) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 181152.96 €