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environments. * Experience with parallel programming models, such as MPI, OpenMP, CUDA, or related technologies. * Experience compiling, porting, debugging, and optimizing scientific or engineering applications
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given Tiramisu program, many code optimizations should be applied. Optimizations include vectorization (using hardware vector instructions), parallelization (running loop iterations in parallel
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of Information Technology. This role oversees the full lifecycle of events, ensuring alignment with university priorities and exceptional execution. In parallel, the position drives creative branding and communications
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). Experience with shared and distributed memory parallel programming models such as OpenMP and MPI. Experience with one more GPU or performance portability programming language (e.g., CUDA, HIP, Kokkos, SYCL
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) ● Experience working in Linux-based high-performance computing environments. ● Experience with parallel programming models, such as MPI, OpenMP, CUDA, or related technologies. ● Experience compiling
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environments, parallel and distributed file systems, tiered storage strategies, and hybrid cloud integration. Strong communication skills across technical and non-technical audiences Strong understanding
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, sequencing, molecular cloning and genetic engineering techniques, DNA fingerprinting, MLST typing etc. Whole genome sequencing using Illumina MiSeq or similar platform. Participating in parallel work on other
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, science, engineering, and mathematics applications used in computational computing environments. Supports management, tuning, operating systems, parallel file systems, automating deployment of compute nodes
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IFREMER - Institut Français de Recherche pour l'Exploitation de la MER | Nantes, Pays de la Loire | France | 24 days ago
parallel, please submit your application to the doctoral school : 20/04/2026 Doctoral students' contracts will start as of October 5th, 2026, subject to the submission of administrative documents authorizing
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and place-based linkage. ● Experience working with large, complex datasets that may require novel data structures, indexing strategies, or parallelized workflows. ● Ability to work independently with