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Post-doctorate position (M/F) : Exascale Port of a 3D Sparse PIC Simulation Code for Plasma Modeling
degree / PhD computer science or physics with high-performance computing - Experience in Fortran, C or C++ programming - Experience in high-performance computing and parallel programming, in particular GPU
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sciencesYears of Research Experience1 - 4 Additional Information Eligibility criteria Knowledge: - PhD in Immunology - Advanced technical skills in molecular and cellular biology - In-depth knowledge of animal
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scienceYears of Research ExperienceNone Research FieldPsychological sciences » PsychologyYears of Research ExperienceNone Additional Information Eligibility criteria A PhD in cognitive science, psychology or a
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Research FieldPsychological sciences » PsychologyYears of Research ExperienceNone Additional Information Eligibility criteria ### Knowledge - PhD in computational neuroscience, physics, mathematics
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12 Mar 2025 Job Information Organisation/Company CNRS Department Centre de Recherches sur la Cognition Animale Research Field Neurosciences Psychological sciences » Cognitive science Psychological
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analysis, applied mathematics or computer science. Strong knowledge in geodesic methods and Deep Learning. Strong programming skills. Motivation for applications in medical imaging. Publications in
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equipped for cell culture (L2 and L3 for virus production), and for molecular biology (benchtop equipment, robotic pipettors, PCR machines, etc.). Each person has his/her own desk and computer. Where to
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12 Mar 2025 Job Information Organisation/Company CNRS Department Institut d'électronique et des technologies du numérique Research Field Engineering Physics Technology Researcher Profile Recognised
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of PhD) in a relevant biological subject (e.g. microbial ecology, genomics, plant biology). - The candidate should have a good academic track record, and solid background and research experience in
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Additional Information Eligibility criteria - a PhD in computer science - sound knowledge of energy metrics in distributed systems - knowledge of performance evaluation in Cloud environments - knowledge