345 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "University of Waterloo" Postdoctoral positions in France
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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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Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | 14 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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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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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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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
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experience in scientific programming is a plus. • Experience in constructing Machine Learning potentials would be appreciated. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR5254
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, or both, of the ID32 branches are encouraged to apply. For more details see: https://www.esrf.fr/ID32 Further information may be obtained from Nick Brookes (tel.: +33 (0)4 76 88 24 39, email: brookes
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and optimize their properties for neuromorphic computing through combined electrical and MOKE measurements, and train them to achieve artificial intelligence tasks. - Micromagnetic simulations - machine