331 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "University of Waterloo" Postdoctoral positions in France
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Field
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Engineering (PHELIQS, https://www.pheliqs.fr/en ), a joint research unit of the French Commission for Atomic Energies and Alternative Energies (CEA), Université Grenoble Alpes and Grenoble INP, is currently
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combine density functional theory (DFT), molecular simulations, and machine-learning force field (ML-FF) development to uncover the factors controlling NHC–surface interactions and to model realistic
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, brings together around 300 people and is one of the leading centers for fundamental research in biology in the Paris region. The host team (https://www.ijm.fr/recherche/duharcourt-lab-vf/ ) is particularly
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20 Feb 2026 Job Information Organisation/Company Université de Pau et des Pays de l'Adour Department SIAME Research Field Engineering » Computer engineering Physics » Computational physics
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Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | 15 days ago
between the device-dependent and the device-independent scenario, and (iv) developing its applications in communication, computation, and security tasks Where to apply Website https://jobs.inria.fr/public
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has opened a new era in the exploration of the fundamental laws of Nature, and it will be the world's energy frontier machine for the foreseeable future. After the breakthrough discovery of the Higgs
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lie at the crossroads of multiple disciplines and involve expertise in optics, electronics, image and data processing (including machine learning), photophysics, chemistry and biology. The position is
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elucidating the molecular and cellular mechanisms of the late phase of long-term potentiation (LTP), a key process in learning and memory. The project is based on the development and use of an innovative
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Collaboration on « Probabilistic Paths to Quantum Field Theory », https://probabilistic-qft.org/ , which addresses broad theoretical questions interfacing quantum field theory and probability theory, but also
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molecular dynamics simulations of modified nucleosomes - analyze the large data set obtained using various analysis tools, from visualization to automation using machine learning tools - perform QM/MM