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on the development of deep learning methods for reconstruction and physics analysis of the ATLAS experiment data. The successful candidate will develop innovative analysis methods for the reconstruction or the physics
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the European Research Council (ERC) Starting Grant, aims to understand the molecular evolution and adaptability of Deltaviruses to new hosts. The host laboratory benefits from a network of local, national, and
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symmetry and excitation processes on vibrational spectra, as well as participate in the development of methods integrating new laser technology. The candidate will work within the framework of the ANR
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develop machine learning approaches (deep learning) to understand the eco-evolutionary mechanisms underlying biological diversity from environmental (phylo)genomic data. - Methodological developments in
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dual source and in a compact way; 3) the research challenge: a more efficient process for simultaneously producing X-rays and neutrons by intense laser; 4) Methodology: Developing a comprehensive suite
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at international conferences. Development and optimization of experimental protocols: stereotactic injections, optogenetics, chemogenetics, in vivo imaging (fiber photometry, calcium imaging). • Development and
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motivated Postdoctoral Researcher to join our team for a 18 months position based at Femto-ST in Besançon. This role offers a unique opportunity to contribute to pioneering research and development in
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biodiversity. 2. Develop a conceptual and/or methodological framework, grounded in existing literature, to empirically test the impact of species (or groups of species) on ecosystem functioning. 3. Test the
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of the Chair is devoted to an internationally-renowned researcher from a foreign institution who is leading a project closely associating the research units of Aix-Marseille University. With the help of a local
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. The candidate will contribute to a national project under the PEPR Batteries program (HEAL B&B project), focused on the development and investigation of innovative functional materials. The work will aim