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to the development and implementation of AI models, research frameworks, and computational tools with a goal to advance science. This role is ideal for individuals with a passion for AI research, strong programming
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. utilities, libraries, plugins) Experience with parallel file systems (e.g. Lustre, GPFS) Experience in high performance computing (HPC) environment. Experience with configuration management software such as
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, or parallel computing. Strong programming skills. First research experience through peer-reviewed publications is meritorious. After the qualification requirements, great emphasis will be placed on personal
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Kunsthistorisches Institut in Florenz - Max Planck Institute, Florence, Italy | Germany | 3 months ago
Islands. Archipelago investigates the network formed by the islands, both large and small, across the Mediterranean. The project considers in parallel the internal complexity of the large islands, each
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training the next generation of imaging scientists. The department continues to strengthen its educational programs through a comprehensive portfolio of residencies and subspecialty fellowships, supporting a
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. The department continues to strengthen its educational programs through a comprehensive portfolio of residencies and subspecialty fellowships, supporting a diverse pathway for trainees and reinforcing its
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projects. You will be responsible for managing and supporting the Science Data Processor High Performance Computing (HPC) infrastructure, including platforms, workload/resource managers, and parallel
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batch schedulers (e.g., SLURM, PBS, LSF) and parallel file systems (Lustre, GPFS/Spectrum Scale). Experience implementing and managing automation and configuration management frameworks (Ansible, Puppet
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French National Research Institute for Agriculture, Food, and the Environment (INRAE) | Angers, Pays de la Loire | France | 3 months 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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parallel and distributed systems, including performance tuning Programming and tooling such as C/C++, Python, CUDA, OpenMP, and Spack Linux-based systems, scripting, Slurm, and general systems engineering