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

Optical absorption microscopy based on the photothermal heating effect has recently succeeded in detecting single molecules with a temperature-sensitive nanomechanical resonator. Molecules are sampled onto the nanomechanical resonator and probed with a free-space laser. Upon scanning, optical absorption and photothermal heating of the sample results in a detectable detuning in the mechanical resonance frequency. This technique has overcome the main limitations of alternative optical probing methods. A remaining challenge of nanomechanical photothermal microscopy is the alignment of the free-space optics with the intersecting molecular sample beam necessary to perform time-resolved single-molecule spectroscopy. Furthermore, off-plane optics limits its possibility to be miniaturized. Integrating NIR/MIR waveguides in nanomechanical resonators will create an innovative optomechanical device that solves the alignment problem, increases the field of view, decreases optical complexity, and enables photothermal spectroscopy miniaturization avoiding absorption spectroscopy limitations (i.e.Fabry-Perot resonances, outcoupling, and propagation losses). We propose to give the first steps towards a complete integrated photothermal spectroscopic device for single-molecule analysis dispensing with free-space optics. In the envisioned design, the probing light travels inside the nanomechanical resonator, orthogonal to the sample beam, resulting in an evanescent interaction with the sample molecules on the surface. This design will enable the detection of single-molecule deposition events from heterogenous samples, in particular, airborne particles and proteins in solution will be the target analyte due to its environmental and health relevance. Furthermore, the selectivity provided by the spectroscopic measurement allows for identifying and monitoring neoplastic, while the device holds potential use for early diagnostics.

Mots clés : nanomechanical resonators, integrated photonics, single molecule detection, photothermal spectroscopy

Participants :
- Université technique de Vienne (Autriche) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 183600.96 €
Projet EMBEr (Horizon Europe, appel à projets 2024)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Information Science and Engineering
Statut du projet : SIGNED

Probabilistic programming has become an increasingly popular paradigm for representing probabilistic models due to the possibility of decoupling model representation and probabilistic inference. As for any class of models, equivalence is a paramount property, as it allows for reduction and comparison. However, the current notion of equivalence for probabilistic programs is very strict, relying on distributional equality and its weaker variants. These existing notions of equivalence are particularly unsuitable for applications where only partial knowledge of the systems is available, a common scenario in Bayesian inference. A common strategy to account for missing information is to resort to summary statistics, i.e. moments. The objective of EMBEr (Exploring Moment-Based Equivalence for probabilistic prograams) is to establish the theoretical, algorithmic, and practical foundations of a new notion of equivalence based on moments comparison. This novel approach aims to determine when two models described by probabilistic programs have the same expectations with respect to a family of functions. The project will comprise both theoretical investigations and the development of a proof-of-concept algorithm and a proof-of-concept tool for equivalence testing. EMBEr will leverage on existing knowledge on moment-based inference and equivalence testing for probabilistic programs, to propose a more flexible notion of equivalence, that will impact formal methods and programming languages, and more broadly, will advance probabilistic modeling, including Bayesian inference and cyber-physical systems.

Mots clés : programming languages, probabilistic modelling

Participants :
- Université technique de Vienne (Autriche) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 214344.72 €
Projet Q-UDiM (Horizon Europe, appel à projets 2024)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Physics
Statut du projet : SIGNED

Q-UDiM aims to advance the understanding of ultracold dipolar molecules by overcoming key challenges in their manipulation and exploring their potential to form novel phases of matter.  Ultracold dipolar molecules, with their rich quantum structure and strong, long-range interactions, offer exciting new possibilities in quantum sensing, metrology and computing, beyond what has been achieved with ultracold atoms. However, these same features make them difficult to cool and control. Q-UDiM will address these challenges by exploring theoretically innovative techniques to minimize molecular losses while maximizing interaction strength. This involves studying new quantum optics setups, utilizing advanced microwave shielding techniques, and implementing temporal control methods.  At the same time, the project will focus on creating efficient computational models, particularly a tailored Path Integral Monte Carlo (PIMC) method, to simulate the behavior of strongly interacting dipolar molecules. This will allow the exploration of the phase diagram in regimes of strong confinement and interactions strength, investigating many-body phenomena and the emergence of novel phases of matter, such as self-assembled crystals and the defect-induced supersolid.  The environment at TU Wien provides a perfect combination of deep theoretical knowledge in quantum optics and many-body physics, from the host group of Thomas Pohl, and experimental expertise in ultracold molecules at the Atominstitut. It also provides the necessary computational resources through the Vienna Scientific Cluster, with accompanying technical competences.

Mots clés : bose einstein condensate, cold molecules, microwave dressing, path integral monte carlo, supersolidity

Participants :
- Université technique de Vienne (Autriche) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 214344.72 €
Projet PERSON (Horizon Europe, appel à projets 2024)
Action : Postdoctoral Fellowships - Global Fellowships
Panel : Social Sciences and Humanities
Statut du projet : SIGNED

PERSON - Platform Level Bureaucracy and Social Inclusion  PERSON analyses what happens to the bureaucratic encounter and to street level bureaucrats’ (SLBs) discretion when access to service becomes digital. Studying the use of three platforms for accessing Job Centres activated in Italy (DID Platform), Canada (Québec.ca Platform), and the Netherlands (UWV Platform), PERSON investigates the way in which digital bureaucratic encounters affect SLBs’ discretion and aims to develop guidelines for an inclusive public platform design, overcoming barriers related to gender, age, and ethnicity. The core idea revolves around how digital practices change not only the way SLBs use their discretion, but also the very nature of the bureaucratic encounter between users and SLBs, consequently, it appears necessary to investigate the relationship between these two actors, mediated by digital public platforms. The research will be conducted in three countries with three different levels of digitisation of the public sector, through the implementation of creative and replicable tools for digital qualitative research (Digital Subsystem Technique; Vignette Techinque for Internet Based Research). PERSON wants to understand whether the digital bureaucratic encounter amplifies or reduces the effects of the characteristics of the actors (SLBs and users) on the actual access to the public service. The final objective is to develop guidelines to design an inclusive platform for the public sector by comparing similar platforms in three different digitisation contexts.

Mots clés : street level bureaucracy bureaucratic encounter digitalization of public sector public administration social inclusion public platform qualitative research vignette gender studies sts studies

Participants :
- Université de Bologne (Italie) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 341683.08 €
- Université du Québec à Montréal (Canada) — Partner, associated partner, Enseignement supérieur ou secondaire, subvention : 0.0 €
Projet ICAT-PACHO (Horizon Europe, appel à projets 2022)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Chemistry
Statut du projet : CLOSED

Finding new reaction paths and establishing new frontiers in C-H bond oxidation represent breakthroughs in organic chemistry. Going beyond preliminary findings discovered by the fellow Dr. Marco Galeotti, this project will focus on the unprecedented implementation of cationic paths in C-H bond oxidation, diverging from the ubiquitous radical paths. The proposed objective represents a change of paradigm in C-H functionalization from a mechanistic perspective and in a broad perspective in organic chemistry, because it will deliver a novel methodology to access unique and intriguing cyclobutane structures by single-step functionalization of aliphatic C-H bonds. These transformations will be carried with a view to sustainability through the employment of earth abundant 3d catalysts and an eco-friendly oxidant such as hydrogen peroxide. This proposal will benefit from the accumulated wealth of experience of Marco Galeotti in organic chemistry and in the mechanistic aspects of the factors governing reactivity and selectivity on aliphatic C-H bond functionalizations. This, in combination with the supervision of Prof. Miquel Costas, an internationally recognized expert in the chemistry of biologically inspired oxidation catalysis applied to organic chemistry, will offer the possibility to uncover valuable mechanistic insights of this new oxygenation pathway. The proposed project will represent a milestone in synthetic organic chemistry because it will deliver a wide variety of stereo- and enantioselective four-membered carbocycles in the oxidation of cyclopropyl derivatives for a broad spectrum of aliphatic C-H bonds. This transformation will be also applied in late-stage C(sp3)-H diversification of natural product and pharmaceutical, by placing this proposal in the realm of society-changing outcomes.

Mots clés : aliphatic c h oxidation, cationic paths, bioinspired catalysts, high valent oxo species, cyclopropane

Participants :
- Société Max-Planck pour le développement des sciences (Allemagne) — Partner, associated partner, Recherche, subvention : 0.0 €
- Université de Gérone (Espagne) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 165312.96 €
Projet Blue-Paths (Horizon Europe, appel à projets 2021)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Environment and Geosciences
Statut du projet : CLOSED

Oceans are a life-support system for human societies. They supply fundamental goods such as fish food, materials, energy and provide benefits associated with our well-being, they form cultural values and contribute to jobs creation and trade. The development of national ocean development plans combined with Blue Growth (BG) strategies are turning the ocean into a new frontier of industrial development. In fact, the EU's Blue Economy produces a turnover of 750 billion euro/year. However, the actual sustainability of this Blue Acceleration process remain to a large extent uncertain, due to 1) an unclear interpretation of the concept of "Blue Growth" across different policies, the 2) multiple human pressures across scales and marine regions cause ecological degradation with high social costs and 3) the lack of integrated methodologies that can capture the effects of the BG trends on oceans health and human well-being over spatio-temporal scales. There is an urgent need for interdisciplinary approaches that can address the pathways of sustainable transitions in marine realms and the deriving benefits and costs to society and the environment. Blue-Paths aims to 1) develop an integrated human-ocean framework for BG; 2) identify environmental and socio-economic effects of pathways of sustainable transitions on the use of ocean?s ecosystem goods and services and 3) deliver new knowledge on the management and planning of ocean resource. To do so, Blue-Paths will couple a marine socio-ecological system (SES) framework with an Ensemble Machine Learning (ML) technique to simulate the spatio-temporal environmental and socio-economic effects on the marine SES induced by pervasive ocean technologies. This is of high practical value, as it will be tested on the 2050 ecological transition plan of Spain. Blue-Paths framework combined with ML techniques will provide innovative tools to monitor the sustainable use of the ocean space and foster adaptive management of marine resources.

Mots clés : sustainability transitions socio ecological system ocean technologies machine learning marine spatial planning blue growth

Participants :
- Conseil national de la recherche (Italie) — Partner, associated partner, Recherche, subvention : 0.0 €
- Université de Gérone (Espagne) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 165312.96 €
Projet neurOmics (Horizon Europe, appel à projets 2021)
Action : Postdoctoral Fellowships - Global Fellowships
Panel : Environment and Geosciences
Statut du projet : SIGNED

Currently, the incidence of neurodevelopmental disorders such as attention deficit hyperactivity disorders and autism spectrum disorders are increasing among children; a trend that has been linked to man-made chemicals suspected of causing developmental neurotoxicity (DNT). Despite this, the current guidelines are insufficient to properly identify chemicals that are toxic for the developing brain and scientists across the world have recently called for better DNT testing methods. neurOmics will find new approaches to evaluate endocrine disruption induced DNT. Using cutting-edge molecular methods neurOmics will apply exploratory omics in a powerful alternative model system to form novel hypotheses on how endocrine disrupting chemicals affect the brain. We propose that lipids and myelination represent promising key events for endocrine disruptor-induced DNT and by using technologies such as high-resolution mass spectrometry and Matrix-Assisted Laser Desorption/Ionization-Mass Spectrometry Imaging, we will move the field from a point where hazard characterization relies on fluctuating hormone measurements to more reliable, feasible and quantifiable molecular key events. The project will utilize a representative of true frogs, the cosmopolitan tadpole model American bullfrog (Rana [Lithobates] catesbeiana), to understand the causes of DNT and exploit this gained knowledge to establish adverse outcome pathways (AOPs) applicable for risk assessment of chemicals — a European Commission priority focus area and supporting the Green Deal. Neurodevelopment is highly conserved across animal species so the novel testing strategies will contribute to breaking down the wall between human and environmental toxicology. This will enable for a better and more feasible identification and safety assessment of hazardous chemicals, improve ecosystem health and ultimately reduce the neurodevelopmental disorders observed among children today

Mots clés : eco toxicology, developmental neurotoxicity, endocrine disruption, amphibia, adverse outcome pathways

Participants :
- Université d'Aarhus (Danemark) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 220845.76 €
- Université de Victoria (Canada) — Partner, associated partner, Enseignement supérieur ou secondaire, subvention : 0.0 €
Projet FRASP (Horizon Europe, appel à projets 2023)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Life Sciences
Statut du projet : SIGNED

In developed countries, modern lifestyle often leads women to postpone their decision on when to have children. By 2022, the average age at which women in Europe give birth to their first child had crossed 30. Unfortunately, delayed motherhood is associated with a decline in women's reproductive potential, which can manifest as difficulties with conception, miscarriages, or an increased risk of delivering a child with chromosomal abnormalities. This decline is primarily attributed to the fact that oocytes, the reproductive cells, gradually lose their quality and fertilization potential with age. The primary object of the FRASP (Female Reproductive Ageing - Signalling Pathways) Proposal is to gain insights into why oocytes lose their reproductive capacity as women age. Recently, several signalling pathways have been identified to be involved in the aging of oocytes and the cumulus cells that directly surround and interact with them. However, our current understanding remains limited, and this knowledge may not have an immediate impact in the near future. This Proposal aims to comprehensively analyse the signalling pathways responsible for aging in oocytes and cumulus cells derived from mice. To achieve this, we will employ a range of high-throughput techniques comprising for multiOMICS approach. Signalling pathways will be investigated at the RNA, protein, and metabolite levels. Additionally, we will explore how these pathways influence the outcome of fertilisation. We believe that our approach will provide a profound understanding of the intricate molecular mechanisms that occur during oocyte aging, ultimately offering potential molecular targets for therapeutic interventions.

Mots clés : reproductive aging, advanced maternal age, oocyte aging, cumulus oocyte complex, signalling pathways

Participants :
- Université de Gérone (Espagne) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 181152.96 €
Projet ULMARM (Horizon Europe, appel à projets 2024)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Information Science and Engineering
Statut du projet : SIGNED

The ULMARM, or Ultrasound Localization Microscopy with Advanced Reconstruction Models, seeks to improve ultrasound imaging by addressing key challenges in Ultrasound Localization Microscopy (ULM). Traditional ULM methods require long acquisition times and ultra high frame rates to track microbubbles (MBs) accurately, stretching the capabilities of current clinical ultrasound systems. ULMARM aims to solve these challenges by developing advanced reconstruction techniques and integrating deep learning (DL) models. The goal is to relax frame rate demands while maintaining high-quality super-resolved imaging and accurate motion tracking, making ULM more feasible for clinical applications. In ULMARM, I propose recasting ULM as a mathematical inverse problem to achieve super-resolution in both space and time jointly. By treating the relationship between MB movement and ultrasound frames as a generative forward model, I will infer the most probable MB trajectories from observations using a Bayesian posterior maximization approach. To tackle inherent challenges, I will utilize advanced deep generative models and strong data-driven priors to streamline the inference process. The ULMARM project is organized into six work packages (WPs). WP1 focuses on new sparse coding methods to relax frame rate while preserving image quality. WP2 develops mathematical models for direct reconstruction, including motion compensation for improved accuracy. WP3 uses DL to reconstruct missing data, improving both spatial and temporal resolution. WP4 extends these methods to 3D ULM, tackling challenges like high volume rates and out-of-plane motion. WP5 focuses on evaluating these techniques with experimental and clinical datasets. WP6 handles project management and training. The MSCA Fellowship will provide crucial resources and collaboration opportunities, helping me advance my research in ULMARM, establish innovative techniques to improve ULM’s clinical use, and career development.

Mots clés : medical imaging, ultrasound, ultrasound localization microscopy, super resolution, bayesian framework, inverse problem solving, generative ai, frame rate, interpolation

Participants :
- Université de technologie d'Eindhoven (Pays-Bas) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 217076.16 €
- Université de Trente (Italie) — Partner, associated partner, Enseignement supérieur ou secondaire, subvention : 0.0 €
Projet COPERNICUS (Horizon Europe, appel à projets 2024)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Mathematics
Statut du projet : SIGNED

Multiphase flows, where liquids, gases, and solids interact, are ubiquitous in nature and industry. Modeling such flows accurately is fundamental to progress in fields such as aerospace, biomedical, and environmental engineering fields. Existing models for multiphase flows, such as Baer-Nunziato, Kapila, and Romenski, are widely used, but they have limited application and do not allow taking into account important features such as surface tension, phase transition, or elastic interactions of materials.  The main objective of COPERNICUS is to formulate a novel hyperbolic and thermodynamically compatible (HTC) model for multiphase flows, which incorporates the effects of surface tension, phase changes, and elastic interactions between phases. The new model, derived from variational principles, will ensure energy conservation, thermodynamic compatibility, and hyperbolicity. In addition, new high-order, structure-preserving numerical methods will be developed to simulate complex real-world phenomena that can be observed in the real world accurately and efficiently. This project will significantly advance the field, offering a unified framework for modeling a wider range of multiphase interactions.  Secondments at the University of Aix-Marseille, with Professor Gavrilyuk, and at the University of Trento, under the supervision of Professor Dumbser, will complement the theoretical and numerical foundation needed to achieve the project's ambitious goals. For the fellow, this project will provide valuable professional experience. She will improve her mathematical modeling, numerical methods, and parallel computing knowledge. Beyond scientific skills, she will also receive training in project management, leadership, and open science practices, which will prepare her for a future career as an independent researcher.

Mots clés : hyperbolic equations, multiphase flows, structure preserving schemes, hyperbolic and thermodynamically compatible systems

Participants :
- Aix-Marseille Université (France) — Partner, associated partner, Enseignement supérieur ou secondaire, subvention : 0.0 €
- Institut national de recherche en sciences et technologies du numérique (France) — Coordinator, beneficiary, Recherche, subvention : 226420.56 €
- Université de Trente (Italie) — Partner, associated partner, Enseignement supérieur ou secondaire, subvention : 0.0 €