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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Gorlitz, Sachsen | Germany | about 8 hours ago
employment. Starting date: 01.09.2026 Job description:PhD Student (f/m/d) for HPC/GPU Computing With cutting-edge research in the fields of ENERGY, HEALTH and MATTER, around 1,500 employees from more than 70
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Gorlitz, Sachsen | Germany | about 8 hours ago
systems research. The Department of Scientific Computing Core is looking for a Postdoc (f/m/d) GPGPU Computing. Your tasks # Research in GPU programming and (highly) parallel programming for HPC and
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ensemble structures. As an Empire AI-funded fellow, you will have early access to the Empire AI clusters, utilizing state-of-the-art GPU architectures to push the boundaries of structural biology. This
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is named to its "Best Place to Work" list. Because at our world-class pediatric research hospital, every one of our professionals shares our commitment to make a difference in the lives of the children
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, you will have early access to the Empire AI clusters, utilizing state-of-the-art GPU architectures to push the boundaries of structural biology. This position is a prestigious Empire AI Fellowship
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processor topology. On modern servers, Non-Uniform Memory Access (NUMA) architectures and GPU accelerators introduce asymmetric memory access costs that remain largely invisible to application-level code yet
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Ryzen CPU, GPU, and NPU, in terms of inference speed, energy consumption, accuracy, and performance per watt. Different quantization levels (e.g., int8, fp16) will also be explored. Develop intelligent
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studies. These pipelines must be capable of efficiently exploiting different types of parallelism, both at the level of a computing node (CPU and GPU) and at the level of a cluster of PCs. This environment
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parallelization strategies Experience with porting and optimization of parallel HPC software for modern architectures including GPUs Excellent knowledge of a variety of suitable computing languages (including C
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across multiple data modalities Manage HPC resources and job scheduling on NAISS Arrhenius CPU and GPU partitions Requirements To meet the entry requirements for doctoral studies, you must hold a Master’s