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modeling using chemistry or materials codes, weather simulations, etc. Statistical modeling and data visualization Parallel software design with MPI, OpenMP, pthreads, or CUDA GPU computing environment Deep
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- 23:00 (UTC) Country Austria Type of Contract To be defined Job Status Full-time Hours Per Week To be defined Is the job funded through the EU Research Framework Programme? Not funded by a EU programme
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are invited to view the full program details: https://www.canada.ca/en/impact-plus-chairs/program-details/competition/2026/apply.html Our Values Accessibility, Belonging and Community for all are key strategic
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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | 2 months ago
(supercomputer/cloud/edge) infrastructures. Developed by the KerData research team in the context of the STEEL project of the national PEPR CLOUD program, E2Clab (https://team.inria.fr/kerdata/e2clab/ ) is a
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-erklæringen var sist oppdatert 23.02.2026 Hva er en cookie? En cookie er en liten datafil som lagres på datamaskinen, nettbrettet eller mobiltelefonen din. En cookie er ikke et program som kan inneholde
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Your tasks: Developing optimization algorithms for massively parallel hardware architectures such as AI
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between INRIA and LJLL which focuses on high performance scientific computing. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR7598-PIETOU-006/Candidater.aspx Requirements Research
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, cyber-physical systems, real-time systems, autonomous systems, middleware, parallel computing, operating systems, Edge AI or AI in cyber-physical systems; Demonstrate strong analytical, programming, and
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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 We are seeking talented postdoctoral researchers with expertise in
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, debugging), including CI/CD, containerization (Docker, Kubernetes), and robust debugging techniques. Experience with cloud platforms (AWS, GCP, or Azure) and parallel computing, with a focus on cost-efficient