242 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "Imperial College London" uni jobs at CNRS
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Ecole Polytechnique, in Palaiseau, France, and will consist of theoretical and numerical modellng. The thesis will consist of modeling turbulence using Machine Learning methods, in particular Physics
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imaging and machine learning. The main task of the successful candidate will be to help redefine certain traditional criteria of comparative anatomy used in archaeozoology and to establish new criteria
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team (https://research.pasteur.fr/en/team/machine-learning-for-integrative - genomics/) at Institut Pasteur, led by Laura Cantini, works at the interface of machine learning and biology (tools developed
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experience in large-scale structure simulations, working knowledge of applications of machine learning techniques in cosmology and/or astrophysics (in particular simulation-based inference), strong programming
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inflammation observed in Chronic granulomatous diseases (CGD) patients during infection. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR5089-ETIMEU-007/Candidater.aspx Requirements Research
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" team led by Jean-Luc Gennisson, a team of 25 permanent people positions and 20 students. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR9011-JEAGEN-005/Candidater.aspx Requirements
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been revolutionized in recent years by machine learned interatomic potentials (MLIP), and questions that were impossible to tackle five years ago can now be addressed. The state-of-the-art approach
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Programme (PEPR) Forest Resilience (FORESTT – https://www.pepr-forestt.org/ ), funded by the French Plan d'Investissement d'Avenir (PIA) France 2030. FORESTT aims to support the transition of forest socio
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chemical analysis of pollutants. - Autonomy and initiative - Organization and rigor - Ability to work in a team - Proficiency in the necessary computer tools Website for additional job details https
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, volatiles solubility in magmas or the formation of magmatic-hydrothermal ore deposits. More information can be found under the following link: https://www.isto-orleans.fr/ The PhD project is also part of