486 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" positions at CNRS
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The expert will participate in the necessary methodological developments and analyses of airborne data recorded by the IAGOS research infrastructure (https://www.iagos.org ) and from other networks, to provide
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, machine learning and deep learning. The project Motivation: Interpreting the genome means modeling the relationship between genotype and phenotype, which is the fundamental goal of biology. Achieving
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, Applications of Deep Learning in Electromagnetics: Teaching Maxwell's equations to machines. Scitech Publishing, 2023. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR6164-DAVGON-024
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astrophysics (completed by the start date), demonstrated experience in large-scale structure simulations, working knowledge of applications of machine learning techniques in cosmology and/or astrophysics (in
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statistical inference, machine learning and population genetics. The expected outcomes include new computational tools for studying B cell evolution, insights into age dependent immune diversity and the
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Description CNRS offers a 18-month fixed-term contract researcher position to work on the recently funded project ACCTS (“Assessing cirrus cloud thinning strategies by learning from aerosol-cirrus interactions
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science. As part of Bordeaux Neurocampus, IINS is one of the major players in the neuroscience community in Aquitaine. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR5297-MELDES0-303
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natural organic matter well characterized extracts (IHSS), the study will be performed on real water resources. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR8516-JUSCRI-009
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as part of this postdoctoral position. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR5253-CAMBAK-004/Candidater.aspx Requirements Research FieldChemistryEducation LevelPhD
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new thermoelectric materials using data science and machine learning methods applied to materials, based on expert-reviewed experimental data from the literature and public databases (notably