202 evolution "https:" "https:" "https:" "https:" "https:" "University of St" "St" Postdoctoral positions at CNRS
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Postdoctoral Opportunity in Molecular Biology to Model the Progression of Rheumatoid Arthritis (M/F)
the DigiTREAT project (PEPR Digital Health), which aims to model the progression of rheumatoid arthritis and its evolution in the presence of drug treatment. As part of this project, the postdoctoral researcher
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allowance of up to €300/year A site accessible by public transport + private parking Financial contribution to health insurance costs Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR5278-ANITLI
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insurance costs Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR5278-ANITLI-008/Default.aspx Requirements Research FieldEngineeringEducation LevelPhD or equivalent Research FieldChemistryEducation
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technical potential (PPST), and therefore requires, in accordance with regulations, that your arrival be authorized by the competent authority of the MESR. Where to apply Website https://emploi.cnrs.fr/Offres
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applied to the study of sites, particularly rock schematic rock art sites of southern France. The contract will be carried out in the ANR SCHEMA project (https://schema.hypotheses.org/a-propos ). ANR SCHEMA
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the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The team 'Evolution
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in physics analysis and detector development has also been directed to physics studies for the FCC-ee project and FCC detector R&D, especially in the development of the future ALLEGRO liquefied noble
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((TERAhertz high-sensitivity thermoelectric detector for SENSing and imaging) contract. Absorbing metasurface is a key device of the thermoelectric detector. Where to apply Website https://emploi.cnrs.fr/Offres
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years, the laboratory's research spans a broad range of topics in ultrafast science, including the development of ultra-intense femtosecond laser systems, the physics of laser filamentation in air, and
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. The work will be primarily computational, focusing on the development of deep neural network model architectures and their training. It will involve extending the preliminary results we have already obtained