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(https://numpex.org/ ) Exa-DI and Exa-SofT projects. The position requires regular travel (approximately 1 week per month) to the Paris-Saclay Campus for collaboration with the Exa-DI Computational Data
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Skills - Proficiency in programming languages (mainly Python and spatial SQL, ideally Java or Groovy) - Ability to define an experimental protocol for measuring micrometeorological phenomena - Ability
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astroparticle physics, particle physics, and mathematical physics. The cosmology and astroparticle team (https://astrocosmolapth.com ) conducts research on large-scale cosmic structure, microwave and infrared
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activation and ADAM10 membrane compartmentalization. CMLS 73(9):1895-915. doi: 10.1007/s00018-015-2111-z. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR5048-FLOLEP-121/Candidater.aspx
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(Python required; R, C++ appreciated). Strong interest in network modeling, multi-criteria optimization, or graph theory. Skills in statistics and data analysis. Experience in 3D modeling, phenotyping
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Inria, the French national research institute for the digital sciences | Paris 15, le de France | France | 2 months ago
experience in programming in Python and use of relevant architectures, software, and libraries, such as HyPyP - used for analyzing random pairs and therefore IBS. The successful candidate must be able work in
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at the IRIT-ENSEEIHT campus in Toulouse. Integrated within the REVA team at IRIT. Strong interaction with ALICIA-Vision LabCom partners (CNRS / Technicolor-Mikros). Where to apply Website https://emploi.cnrs.fr
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learning and statistics. A good command of Python programming is essential, as is a good command of English, both spoken and written. Skills in optimal transport theory and knowledge of generative models
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duration of 36 months. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR5804-ISAGUI-012/Candidater.aspx Requirements Research FieldEnvironmental scienceEducation LevelPhD or equivalent
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model's development. The position is based at LOCEAN on the Pierre and Marie Curie campus of Sorbonne University. The LOCEAN laboratory (https://locean-ipsl.upmc.fr ) is one of nine laboratories in