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The development of statistical/machine learning approaches for downscaling at the kilometer scale will be the main mission of the position. For various climate variables (temperature, precipitation, wind, etc
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contribute to the ERC Advanced Project COGNIBRAINS, which aims at elucidating the neural mechanisms underlying simple and high-level forms of visual learning in the brain of bees, placed in a virtual reality
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machine learning have transformed our approach to inverse problems in various fields, notably in medical imaging, enabling a deeper understanding of complex data structures. However, although sophisticated
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and apply Deep Learning tools for protein modeling, small molecule docking, and structure prediction. • Collaborate with interdisciplinary teams to advance research goals and contribute to scientific
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of the following topics will be appreciated: · SAT solving, · Problem encodings and reformulation, · Cryptography, · Pattern mining and machine learning. Website for additional job details
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and apply Deep Learning tools for protein modeling, small molecule docking, and structure prediction. • Collaborate with interdisciplinary teams to advance research goals and contribute to scientific
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integration. - Basic knowledge of Machine Learning and Machine Learning Operations would be a plus. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UAR6402-CHRDUR-163/Default.aspx Work
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and attend conferences -Teach/mentor junior researchers Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR9199-LUCBEN-003/Default.aspx Work Location(s) Number of offers
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participants; - some mastery of the languages of investigation/communication (ideally, but not necessarily, a near-native competence in a sign langage, with intent of learning French Sign Language, and a good
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or a synthetic CT via different methods such as bulk density assignment (BDM), atlas-based and deep learning (DL) methods [2]. In the literature, however, teams have sought to use proton density