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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The candidate will be recruited for the France 2030
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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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Mar 2025 - 23:59 (UTC) Type of Contract Temporary Job Status Full-time Hours Per Week 35 Offer Starting Date 1 May 2025 Is the job funded through the EU Research Framework Programme? Not funded by a EU
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Offer Starting Date 1 May 2025 Is 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
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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 context of this postdoctoral
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Starting Date 2 Jun 2025 Is 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
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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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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The successful candidates will work under the supervision
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Per Week 35 Offer Starting Date 1 Apr 2025 Is 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
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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