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30 Sep 2025 Job Information Organisation/Company Sano Centre for Computational Personalized Medicine Research Field Computer science Researcher Profile Recognised Researcher (R2) Established
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the perspective of numerical analysis and computational mathematics. The overarching aim of the project is to develop new mathematical theory and algorithms to identify, quantify and, where possible, mitigate
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projects to the Tier 2 supercomputer Bede (32 IBM Power 9 dual-CPU nodes, each with 4 NVIDIA V100 GPUs and high performance interconnect). The is also well-provisioned with computational resources and you
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projects to the Tier 2 supercomputer Bede (32 IBM Power 9 dual-CPU nodes, each with 4 NVIDIA V100 GPUs and high performance interconnect). The is also well-provisioned with computational resources and you
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). The is also well-provisioned with computational resources and you will be able to carry out much of your routine work on our two new dedicated server machines (each 64 CPU cores, NVIDIA Tesla A30 GPU unit
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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | about 11 hours ago
we offer State of the art on-site high performance/GPU compute facilities Competitive research in an inspiring, world-class environment A wide range of offers to help you balance work and family life
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and optimize large-scale training and inference runs for foundation models on JUPITER (multi-GPU/node, mixed precision, parallelization, I/O optimization) Integrate multimodal data sources (e.g., scRNA
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16 Sep 2025 Job Information Organisation/Company Université Grenoble Alpes Research Field Computer science » Informatics Researcher Profile Recognised Researcher (R2) Country France Application
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(Jubail) dedicated to the science division, several GPU-based clusters at NYUAD, and other supercomputer facilities through the CASS network. NYUAD also has guaranteed observing time on the Green Bank
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
: Familiarity with ice-ocean interaction physics or polar oceanography. Experience with high-performance computing, GPU-accelerated models (e.g., Oceananigans.jl), or advanced flow measurement techniques (e.g