245 evolution "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" research jobs at CNRS
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joint research unit (UMR) that operates the CCU experimental platform. More informations about the CLLE Laboratory: http://clle.univ-tlse2.fr/ More informations on the project: https://anr.fr/Projet-ANR
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Transitions of Self-Organized Embryonic Systems Gastrulation is a crucial stage of embryonic development, during which an initially homogeneous tissue organizes into distinct cellular layers. Our team recently
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development of the LOTUSIM-Energy simulator and its associated autonomy components. Their main responsibilities will be: - Developing and integrating multi-physics simulation models for maritime, aerial, 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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institute Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR7010-ZIZJIN-002/Default.aspx Requirements Research FieldPhysicsEducation LevelPhD or equivalent Research FieldChemistryEducation LevelPhD
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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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the project, namely light microscopy facilities and equipment for protein purification. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR5077-FABERD-010/Default.aspx Requirements Research
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. They will be provided with an office, a workstation and access to the CNRS's IT resources. Domestic and international travel expenses will be covered by the DiPLO project. Where to apply Website https
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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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. 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