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part of the international Refuge-Arctic project (https://www.refuge-arctic.ulaval.ca ) with links to the NASA FORTE project, whose overall objective is to better understand and predict the role played by
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source and an infrared laser test bench. Script development in Python and C++ will be necessary to control ASIC parameters, to automate data collection and to record data for analysis (Python, ROOT). He
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of errors between model predictions and post-operative reality This work will be carried out by the Biomécamot team (https://www.timc.fr/BiomecaMot ) at the TIMC laboratory, which is part of the CNRS's
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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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of the project (patents, communications, outreach). Conducting in vivo optical imaging experiments on healthy and patient volunteers; Developing image-analysis pipelines (Python, MATLAB) and modeling functional
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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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of dendrochronology techniques, from the research plan, field work and laboratory, and interpretation and publication. He/she should be comfortable with the R and/or Python languages. Experience in handling large
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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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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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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