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two educational institutions where each offers its own separate study programme, rather than a joint study programme. Students can choose to complete part of their studies at a partner institution
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the case of challenging environmental conditions, the method of multi-scale parallel single-pixel imaging has the potential to enable breakthrough advances. The “image processing and AI” group contributes
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such as RNA FISH probe generation followed by imaging at the Imaging core, 3) RNA secondary structure analysis with methods such as FISH 4) RNA functional genomics with methods such as massively parallel
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their compilation tools in different environments. (C++, Fortran, ...) Experience with parallel computing, cloud deployment, and network license managers (FlexLM, RLM, etc.). Strong background in
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systems, high-speed parallel file systems, and archival solutions critical to advancing scientific discovery and innovation. As part of ORNL’s leadership-class computing ecosystem, you will play a vital
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Athletic Training and undergraduate courses in Allied Health Sciences and / or across various related disciplines paralleling the applicant’s expertise in the School of Health. Depending on candidate
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Group in the Applied Mathematics and Computational Research Division at Lawrence Berkeley National Laboratory (LBNL) is seeking a Computational Career-Track Research Scientist. The successful candidate
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French National Research Institute for Agriculture, Food, and the Environment (INRAE) | Angers, Pays de la Loire | France | 3 days ago
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 You will join the
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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | 6 days ago
23 Jan 2026 Job Information Organisation/Company Inria, the French national research institute for the digital sciences Research Field Computer science Researcher Profile Recognised Researcher (R2
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Proven experience with multiple parallel programming paradigms, including but not limited to; MPI, OpenMP, and CUDA (Compute Unified Device Architecture) Experience in a batch HPC environment with a