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Field
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environment, SSG will be responsible for the scratch and new quality of service storage systems in NERSC's latest GPU based supercomputer, named Doudna , to be operationalized in 2027. Doudna will deliver a
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research programme Access to secure clinical and multi-omics data environments Modern GPU, and high-performance computing resources, plus dedicated research-engineering support Close integration with
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, registrations, KPI monitoring, evaluations). Setting up and maintaining a co-working space (procurement and setup of basic equipment, e.g., GPU workstation, A/V equipment for trainings; coordination with
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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | about 1 month 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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. in physics, bioengineering, or a closely related field. Preferred Qualifications Extensive experience in Monte Carlo simulation, GPU-based parallel computing, and image reconstruction techniques
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and coworkers Preferred Qualifications Experience with HPC and cluster computing Knowledge of queuing systems (e.g., Slurm and LSF) Experience with accelerator hardware and software (e.g., GPU, CUDA
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High Performance Computing Systems Basic knowledge of System Architecture of Supercomputers and NVidia-GPUs Practical experience with ML/DL workflows and common software libraries Your experience should
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materials. ASIAA has a dedicated CPU cluster, several GPU servers, as well as access to the National High-performance Computing Center. ASIAA is located in the main campus of the National Taiwan University in
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CPU cluster, several GPU servers, as well as access to the National High-performance Computing Center. ASIAA is located in the main campus of the National Taiwan University in Taipei. ASIAA has
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 28 days ago
of parallel aplications, - GPU acceleration of applications, - application optimization (improving scalability, vectorization, implementation of hybrid parallelization using MPI+OpenMP), - application porting