Data-Gouv-ML/pcri-actions-marie-curie-participations-et-projets-laureats huggingface dataset:
Projet EvoThalamus (Horizon Europe, appel à projets 2023)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Life Sciences
Statut du projet : SIGNED

Developmental programs are the playground for evolution. It is during development when most variation occurs. Therefore, developmental variations are the raw material for natural selection sculpting new adaptations.  To unravel the evolutionary history of the thalamus, a paradigmatic example within the brain, I propose to compare the development of the thalamus at various levels and in various species of amniotes. At the level of neurogenesis, EvoThalamus proposes to describe the neurogenic formation of the thalamus: linking thalamic nuclei neurogenic time with their location and function. At molecular level, I will describe the transcriptional profiles of thalamic neurons during their differentiation and maturation in the circuit, understanding how transcriptomes diverge on the species along with circuit maturation.  At functional level, I will study the broad connectivity routes of the thalamus with the rest of the brain. I propose, in a pioneering way, to integrate multilevel information, to compare all the data of development, transcriptomics and axonal connectivity in a model that links the molecular variations and the developmental program with the appearance of new nuclei and thalamic connections.  I will work with chick and gecko embryos, and we will compare the data with those already published in mice. I will look for developmental variations, novelties of the neurogenic program that are not present in the development of the reptilian thalamus. I will find the changes in development that led to the greater complexity of the thalamus of birds and mammals. These evolutionary trends will be a reflection of the multitude of evolutionary changes that occurred in other brain regions. EvoThalamus will equip me with fresh insights into neurobiology, and brain development and evolution. This project will be instrumental for my career and will consolidate me as an independent female researcher in neuroscience.

Mots clés : neurogenesis cell types single cell rna sequencing brain connectivity vertebrate development

Participants :
- Gouvernement basque (Espagne) — Coordinator, beneficiary, Recherche, subvention : 181152.96 €
Projet RETINA (Horizon Europe, appel à projets 2024)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Information Science and Engineering
Statut du projet : SIGNED

The ambitious MSCA Postdoctoral Fellowship Project RETINA (REsponsive, interacTINg screen based on smArt materials) will create a novel material platform for adaptive screen possessing display, haptics and sensing functionalities. The scientific excitement is based on an exceptionally novel concept of entrained stimuli-responsiveness, which brings about programmed connections between all functions. The technical key is the liquid crystalline (LC) materials that will provide the smart responsiveness, i.e., human-body temperature actuated liquid crystal elastomer (LCE) for haptics, polymer dispersed chiral liquid crystal (PDCLC) for color display and printed electrodes on LCE substrate for adaptive soft electronics. Coupling between different stimuli, i.e., force, heat and electric fields, enables the screen’s performances highly interactive and adaptive. The project output – a pixelized display prototype, with measurable performances – will open new great opportunities in the field of soft robotics and smart materials. This training-through-research during the RETINA will propel my independent academic career with a goal of achieving young group leadership and becoming a tenure track professor.

Mots clés : liquid crystals, display, haptics, soft actuator

Participants :
- Université de Tampere (Finlande) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 226276.8 €
Projet B-GRASP (Horizon Europe, appel à projets 2024)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Environment and Geosciences
Statut du projet : SIGNED

Understanding seismic hazard is essential to reducing the risks posed by earthquakes. Our current knowledge comes in part from the study of earthquake nucleation processes and analysing available data on the timing, location and magnitude of past earthquakes. Unfortunately, these seismological observations are limited because we can only detect and use earthquakes above a certain size, making it difficult to estimate critical parameters for probabilistic seismic hazard assessment (PSHA). One of these critical parameters is the b-value, which describes how often earthquakes of different magnitudes occur. Accurate estimation of the spatial and temporal distribution of the b-value is essential for reliable seismic hazard assessment and for understanding the seismic processes that drive seismicity. However, traditional methods for b-value estimation can be biased by subjective decisions, such as which earthquakes to include based on their magnitude. The B-GRASP project aims to overcome these limitations by developing an unbiased, probabilistic method for estimating spatio-temporal variations in b-value. Using original Bayesian approaches, the project will (1) investigate how the b-value changes over time during foreshock sequences and what this reveals about broader seismic processes of earthquake nucleation, and (2) produce updated b-value maps to improve PSHA in regions of low to moderate seismicity, such as Spain and France. The research is highly innovative, taking advantage of recent advances in the use of the b-value, and multidisciplinary, using Bayesian approaches for the first time to achieve better resolution of the b-value and its uncertainties. The results will ultimately be shared with the academic and private sectors involved in the production of seismic hazard maps. This will help to further develop my combined expertise in statistical seismology and seismotectonics, and improve my prospects of securing a permanent research position.

Mots clés : seismology, seismic hazard, magnitudes, foreshocks, bayesian methods, seismotectonics

Participants :
- Conseil supérieur de la recherche scientifique (Espagne) — Coordinator, beneficiary, Recherche, subvention : 242593.2 €
- Électricité de France (France) — Partner, associated partner, Organismes privés (hors enseignement), subvention : 0.0 €
Projet 3D-Sky (Horizon Europe, appel à projets 2022)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Physics
Statut du projet : SIGNED

The overall power consumption of information technology accounts for almost 10% of the global energy demands and it is predicted to reach 20% in 2030. As a result, we need new ways to store and compute data utilizing more efficient and environmentally cleaner alternatives to current technologies, and the EU should be leading this transformation. The development of a low-power non-volatile memory is one of the most sought-after technologies and racetrack memories based on topological magnetic Skyrmions are one of the most promising candidates. There are, however, several drawbacks for spintronic devices based on Skyrmions: their trajectories under currents are nontrivial; the thermal contribution to Skyrmion motion is yet to be well understood, and fully electrical detection of Skyrmions is challenging due to the small contribution of the topology to the Hall effect. In 3D-Sky, I propose to take advantage of state-of-the-art 3D nanopatterning to obtain fine control over the energy landscape for the motion of Skyrmions in 3D racetracks. For this, I will exploit the precise and unique tuning of thermal and geometrical properties that 3D devices enable to decouple the nanostructure from the substrate opening the possibility to use much higher temperature gradients to tackle the main drawbacks of Skyrmion racetrack memories. In short, in 3D-Sky I aim to create a platform for Skyrmion motion based on 3D nanodevices focusing on the impact of temperature on their dynamics, nucleation and properties. This will provide the fundamental knowledge needed to understand thermal-driven Skyrmion motion in different systems including the different driving forces in play. Furthermore, I will tackle the current challenges in reliable nucleation and electrical detection of Skyrmions taking advantage of the singular properties of 3D nanostructures for the creation of defects and efficient heating.

Mots clés : skyrmions, mram memories, spintronics, spin caloritronics, thermal effects

Participants :
- Université technique de Vienne (Autriche) — Partner, associated partner, Enseignement supérieur ou secondaire, subvention : 0.0 €
- Conseil supérieur de la recherche scientifique (Espagne) — Coordinator, beneficiary, Recherche, subvention : 181152.96 €
Projet PHOTOMOIRE (Horizon Europe, appel à projets 2022)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Physics
Statut du projet : SIGNED

The stacking of two dimensional materials with control of the relative twist angle led to the formation of long-range ordering structural modulation of the atomic lattices with the generation of moiré potentials. Twistronics is a blooming and promising new avenue to achieve optoelectronic devices with extra functionalities offering plenty of opportunities that can be combined with the well-established field of straintronics. In this project, a number of layered materials combinations and straining methodologies will be investigated by in situ Atomic Force Microscopy-based methods such as Piezoresponse Force Microscopy, Kelvin Probe Force Microscopy and Tip-enhanced Raman spectroscopy to visualize the moiré domains under strain. Finally, the project endeavors to engineer photodetectors with strain-tunable polarization using marginally twisted strained van der Waals heterostructures.

Mots clés : atomic force microscopy, raman spectroscopy, straintronics, van der waals interactions

Participants :
- Conseil supérieur de la recherche scientifique (Espagne) — Coordinator, beneficiary, Recherche, subvention : 185808.53 €
Projet CYCLOPS (Horizon Europe, appel à projets 2021)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Environment and Geosciences
Statut du projet : CLOSED

Cyclones form frequently over the Mediterranean Sea. The most intense systems cause extensive damage in the region and beyond. The ability to make climate predictions several months in advance of such extreme events has a large number of crucial socio-economic applications for disaster risk reduction. State-of the-art Seasonal Prediction Systems exhibit a good skill in predicting anomalies in the seasonal mean of meteorological fields such as temperature and precipitation. The models’ ability to reproduce variations in the occurrence of extreme events tends to be however much lower. This is particularly true in regions such as the Mediterranean, where extreme events are often driven by small scale processes that are not well reproduced at the resolution at which SPS typically run. The use of artificial intelligence techniques such as machine learning in the study of climate has gained great traction in recent years. The power of those techniques lies in the ability to detect patterns in large datasets without having to make explicit statistical assumptions, allowing to build predictive model whose skill continuously improves as the volume of data on which the models are trained increases. One promising field of application is to use artificial intelligence to improve the prediction of extremes in climate models. In this setting a machine learning model is trained to find relationships between large-scale climate variables (for which dynamical models have a good predictive skill) and the occurrence of extremes. The aim of this project is to improve the predictability of intense Mediterranean cyclones combining advanced artificial intelligence techniques and a state-of-the-art dynamical seasonal prediction system. The project will not only contribute to the knowledge of climate extremes predictability, but also lead to the implementation of a pre-operational dynamical-statistical prediction system with the potential to be extended to include different extremes.


Participants :
- École polytechnique de Milan (Italie) — Partner, associated partner, Enseignement supérieur ou secondaire, subvention : 0.0 €
- CMCC Foundation - Euro-Mediterranean Center on Climate Change (Italie) — Coordinator, beneficiary, Recherche, subvention : 181088.08 €
Projet ChirPlasBiosensing (Horizon Europe, appel à projets 2022)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Chemistry
Statut du projet : SIGNED

In this project, I will develop chemical methods to synthesize colloidal chiral plasmonic nanoparticles and assemble them into 2D plasmene nanosheets. Chiral components on the surface of metal nanocrystals enantioselectively interact with chiral growth-directing molecules, such as amino acids and peptides, leading to the asymmetric evolution of chiral plasmonic metal nanoparticles. The chirality transfer from soft chiral molecules to inorganic metal surfaces derive from the highly twisted surface features on the nanoparticles induced by the chiral molecules during overgrowth. I will synthesize chiral plasmonic nanoparticles with different morphologies, finely tune the twisted surface elements, adjust their interparticle spacings and orientation, and optimize their chiroptical responses. Highly chiral 2D graphene-like plasmonic superlattices, or “plasmene nanosheets”, will then be fabricated on flexible substrates to serve as all-hot-spot practical chiral sensing platforms via control over interparticle spacing and orientation. A novel functional chiral plasmonic biosensing platform will be constructed by the self-assembled 2D chiral plasmene nanosheets, based on surface-enhanced Raman scattering, for ultrasensitive biomarker detection and chirality discrimination.

Mots clés : chiral plasmonics, circular dichroism, surface enhanced raman scattering, biomarker detection

Participants :
- Centre for Cooperative Research in Biomaterials (Espagne) — Coordinator, beneficiary, Recherche, subvention : 181152.96 €
- Leibniz-Gemeinschaft (Allemagne) — Partner, associated partner, Recherche, subvention : 0.0 €
Projet MLSITDAIAFWT (Horizon Europe, appel à projets 2022)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Environment and Geosciences
Statut du projet : SIGNED

Offshore floating wind turbine (FWT) provides an efficient solution to address climate challenge. Integrated analysis of FWT is vital to reduce the uncertainties in design and save costs. In the field, seabed trenches dramatically increase the failure risks of mooring system and raise operation and maintenance costs. However, the mooring line-seabed interaction related to soil erosion and trench development is not considered in design code (DNVGL-ST-0119, 2018). Thus, two objectives of this project are: 1. reveal the trigger factor for seabed trenching due to the mooring line-soil interaction; simulate the trench development with time. 2. establish the macro element model considering seabed trenching process; integrate the model into the integrated analysis tool of FWTs, e.g., SESAM. A total of 3 packages are designed comprehensively. In the seabed trenching package, conduct 1g erosion test to reveal the trigger factor for seabed trenching (WP1.1). Then propose the soil erosion model based on analytical analysis based on 1g erosion test (WP1.2). Finally, the trench development will be simulated by the trench profile model (WP1.3). In the mooring line-seabed package, get the chain resistance by 1g result (WP2.1); establish the macro element model (WP2.2); considering seabed trenching process, which can consider the soil degradation, erosion, removal (WP2.3). In integrated analysis package, integrate the model into the integrated analysis tool of FWTs, e.g., SESAM (WP3). The new development of the soil erosion model, seabed trench model and macro element of mooring line soil interaction are the new computation tool for scientific analysis. Integrated analysis tool for FWT will be an important and powerful tool for FWT analysis considering mooring line-soil interaction, which will contribute to standards’ setting. This will be a groundbreaking progress and will fill the gaps in the norms and standards (DNVGL-ST-0119).

Mots clés : mooring line seabed interaction, mooring chain, seabed, soil erosion, mooring system, floating wind turbine, integrated analysis

Participants :
- Norges geotekniske institutt as (Norvège) — Coordinator, beneficiary, Recherche, subvention : 132271.44 €
- Université norvégienne de sciences et de technologie (Norvège) — Partner, associated partner, Enseignement supérieur ou secondaire, subvention : 0.0 €
Projet Prey4PDV (Horizon Europe, appel à projets 2023)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Environment and Geosciences
Statut du projet : SIGNED

The Pacific Decadal Variability (PDV) characterises the fluctuations in sea surface temperatures across the Pacific Ocean over decadal to multi-decadal timescales. As the primary driver of variability at these scales, PDV exerts a significant influence on the climate in surrounding regions. It contributes to significant regional climate events such as floods and bushfires while also playing a pivotal role at the global scale by amplifying and mitigating human-induced global warming. Despite a significant effort in recent years to understand the root mechanisms of PDV, our understanding remains hampered by the limited duration of instrumental observations that mainly cover the 20th century with large undercovered sub-regions. It ultimately inhibits the study of longer-term climate variations and especially the role of ocean dynamics. This knowledge gap significantly hampers our confidence in climate projections for the next few decades, particularly at the regional scale. Based on the knowledge of the applicant on the use of paleoclimate proxies combined with climate models to retrieve past climate changes and the expertise of the host institution on data assimilation and climate dynamics, Prey4PDV aims at providing the first paleoclimate reanalysis taking into account the exchanges between the atmosphere and ocean in the Pacific using a state-of-the-art Earth System Model over the past 500 years. Using the product together with sensitivity numerical simulations, we will investigate the critical drivers of the multi-decadal variability in the Pacific. During this fellowship, I will transfer my knowledge in using paleo records within an Earth System Model to the host institution, while learning state-of-the-art data assimilation methods, running numerical simulations, and tropical climate dynamics from the host institution. Therefore, this fellowship will place me at the forefront of an emerging scientific topic by applying state-of-the-art paleo data assimilation.

Mots clés : climate data assimilation paleoclimate climate dynamics ocean dynamics

Participants :
- Institut Nansen pour l'environnement et la télédétection (Norvège) — Coordinator, beneficiary, Recherche, subvention : 226751.04 €
Projet uOECT (Horizon Europe, appel à projets 2022)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Information Science and Engineering
Statut du projet : SIGNED

This project is aimed at developing active soft neural probes for high-resolution, high-density interfacing of the peripheral nervous system (PNS). The availability of high-resolution PNS interfaces is key to the treatment and management of a number of common medical conditions such as neuropathic and chronic pain, paralysis, major depression, and epilepsy. Two major challenges that hinder progress in this area are: i) Mechanical mismatch between the neural tissue and the conventionally used neural probe materials (e.g. metal wires). ii) The electrode density and spreading is limited by the use of passive linear probes. This project seeks to address both these issues by developing miniaturized inert, ultra-soft (E<50kPa) multi-headed probes, which can be actuated in situ to record from a large volume of the neural tissue with high spatial resolution. This is combined with integration of multiple active neural transducer elements and integrated amplification circuitry for high signal fidelity and integrated multiplexing circuitry for addressing, into each probe arm. This approach simultaneously increases spatial resolution and signal fidelity of neural interfacing, while enabling chronic implantability due to decreased chronic immune response and scarring through the inert and mechanically compliant nature of the probes, as well as minimized tissue damage during implantation.

Mots clés : organic electrochemical transistors, oects, soft neural probes, neural interfaces, soft electronics, stretchable electronics

Participants :
- Université de Linköping (Suède) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 222727.68 €
Projet MIXCONDUCTORS (Horizon Europe, appel à projets 2023)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Chemistry
Statut du projet : CLOSED

The promise of organic materials as biological sensors, electrodes, and memristive devices creates outstanding opportunities for medical diagnosis and treatment, energy storage, as well as neuromorphic computing. At the core of these applications are organic polymers that efficiently support both ionic and electronic transport and therefore are called organic mixed ionic-electronic conductors. These materials’ enabling feature is their ability to convert ionic currents into electronic signals, and vice versa. However, our understanding of these materials is incomplete and the molecular mechanisms underpinning their properties remain elusive. In MIXCONDUCTORS, I will describe and characterize mixed ionic-electronic conductors using machine learning-enhanced multiscale simulations to unravel molecular mechanisms and identify material design guidelines. I propose to use specific machine learning surrogate models to develop a new multiscale method with dramatically increased computational efficiency, unlocking the possibility of bottom-up simulations able to predict device-scale properties. The proposed multiscale method will be used to characterize in silico the growing library of organic mixed conductors, allowing me to uncover their common and/or unique strengths and discover material design guidelines. Finally, together with experimental collaborators, I will be in the position to unravel the molecular mechanisms underpinning some of mixed conductors’ unique properties, enabling me to formulate application-targeted material design guidelines. In summary, MIXCONDUCTORS will provide detailed and unprecedented understanding of the molecular mechanisms behind the functioning of emerging organic mixed ionic-electronic conductors, thereby informing the rational design of improved materials with ramifications for the development of devices that improve health and well-being and enable a future with clean and affordable energy.

Mots clés : multiscale modeling, organic mixed ionic electronic conductors, machine learning for soft materials

Participants :
- Université de technologie d'Eindhoven (Pays-Bas) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 203464.32 €
- Université de Linköping (Suède) — Partner, associated partner, Enseignement supérieur ou secondaire, subvention : 0.0 €