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images. However, the current limitations of desktop computers in terms of memory, disk storage and computational power, and the lack of image processing algorithms for advanced parallel and distributed
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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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develop software for high-energy particle physics. Optimize software for performance, scalability, and efficiency on modern computing architectures, including HPC and distributed systems. Participate in
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physics. Optimize software for performance, scalability, and efficiency on modern computing architectures, including HPC and distributed systems. Participate in research and development activities
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at one time. In non-stationary environments on the other hand, the same algorithms cannot be applied as the underlying data distributions change constantly and the same models are not valid. Hence, we need
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develop software for high-energy particle physics. Optimize software for performance, scalability, and efficiency on modern computing architectures, including HPC and distributed systems. Participate in
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researchers, HDSI technical leadership, and the alliance team to deliver production-grade research software and reusable technical patterns that benefit multiple projects across the Impact Computing umbrella
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. Formulating necessary solutions using various parallel computing paradigms and tools, HPC schedulers (such as slurm), Containers and Kubernetes, Python, Bash and other scripting/programming languages in
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IFREMER - Institut Français de Recherche pour l'Exploitation de la MER | Brest, Bretagne | France | 9 days ago
Research Framework Programme? Not funded by a EU programme Reference Number 2026-1852/1 Is the Job related to staff position within a Research Infrastructure? No Offer Description Deadline for applications
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Qualifications Experience: Relevant programming experience developing, implementing, debugging, and maintaining applications with Python. Experience working with high performance computers (e.g., parallelizing and