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PhD degree in Computer Science, Physics or a related field Experience with parallel programming models Strong programming skills in C/C++ and/or Python Knowledge of distributed memory programming with
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Post-doctorate position (M/F) : Exascale Port of a 3D Sparse PIC Simulation Code for Plasma Modeling
, C. (2023). Approche sur grilles parcimonieuses pour accélérer la méthode PIC (PhD, Toulouse 3). - Participate in the Exascale porting of 3D sparse-PIC code, including distributed parallelism
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Identify new applications for Machine Learning in science, engineering, and technology Develop, implement and refine ML techniques Implement parallel ML training on the High Performance Computers Engage in
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and spatial distribution” in the Research Unit Coastal Seas and Society until the 30.11.2027 and a percentage of 100% (40h/week), subject to the funding of the project. Remuneration is paid in
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. You have experience in parallel computing, automatic performance tuning and optimization of advanced applications on parallel and distributed systems. An excellent scientific track record proven through
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Responsibilities Research: Distributed graph Algorithms, streaming algorithms, sublinear time algorithms, massively parallel computing, writing scientific publications Teaching: support of bachelor level courses and
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. The research themes of the Autonomous Critical Embedded Systems (ACES) team revolve around concurrent systems in general (parallel systems, distributed systems, etc.), for which non-functional properties such as
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, Statistical Physics, Genome Annotation, and/or related fields Practical experience with High Performance Computing Systems as well as parallel/distributed programming Very good command of written and spoken
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programming distributed systems; Experience with parallel and distributed File Systems (e.g., Lustre, GPFS, Ceph) development. Advanced experience with high-performance computing and/or large-scale data centers
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
Research program is designed for candidates who have completed their PhD within the last two years and worked in their area of expertise since graduation as a postdoc, professor, or industry researcher