393 developer-"https:" "https:" "https:" "Brunel University London" positions at CNRS
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targets to develop new immune therapies toward "HIV-Cure". The project implies pDC and sub-population purification, preparation of the cells for sequencing (encapsulation and sequencing done by the Genom'IC
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candidate will join the “Ecosystem Functioning” research group (ECOFUN - https://ecobio.univ-rennes.fr/ecofun-diversity-interactions-processes ) and will be supervised by Cécile Monard (CNRS Researcher) and
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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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, engineers, PhD students, and postdoctoral fellows, at the interface between fundamental research, technological development, and experimental validation. Where to apply Website https://emploi.cnrs.fr/Offres
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understood. The PhD candidate will develop theoretical and data analysis method to interpret single-cell data from endothelial tissues and to produce a working model of how phenotypical changes occur over long
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controlled spatial periodicity and tunable disorder landscapes, our experimental system can be driven across regimes ranging from linear-wave dynamics to solitonic states and fully developed turbulence. By
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of Higher Education and Research (MESR). Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR5798-FABPIS-018/Default.aspx Requirements Research FieldPhysicsEducation LevelPhD or equivalent
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conceptual and technological developments in subsurface microbial ecology. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR7154-SABGAL-054/Default.aspx Work Location(s) Number of offers
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to communicate effectively and work in a team. • Enthusiasm for studying virus evolution. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UPR9022-BENSTE-057/Default.aspx Work Location(s
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many genetic mutations "uninterpretable" in clinical settings. Our project will develop an artificial intelligence approach capable of predicting, for each mutation and each cell type, its impact on