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development and GPU-accelerated inference to change what can be attempted by a small research group. The postholder will derive physical predictions, direct the construction of the software needed to test them
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turbulent flow simulations. 3. Background in numerical methods and scientific computing. 4. Proficiency in Python programming and high-performance computing on modern GPU-based platforms
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experiments. You will experience designing and operating massive-scale GPU and combined CPU/GPU workloads across these services. You will design and debug platforms, and will work closely with researchers as
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managed as software-defined infrastructures, and integrated as complete computational experiments. You will experience designing and operating massive-scale GPU and combined CPU/GPU workloads across
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and ethically. Its core is a studio of high-performance GPU workstations hosting open-source models locally (image, video, audio and language) where staff and students can see, adjust and interrogate
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extracting transport properties from molecular dynamics trajectories. ● Experience with GPU-accelerated machine learning frameworks (for example CUDA, PyTorch, or GPU-enabled LAMMPS). ● Experience
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Niopek“ Bewerbungen werden in der Reihenfolge des Eingangs bearbeitet mit dem Ziel einer zügigen Stellenbesetzung. Für Rückfragen wenden Sie sich bitte an die oben genannte E-Mail-Adresse. Die Universität
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scalable training and inference on parallel, distributed and GPU-accelerated computing systems Benchmark the developed approaches against established methods, assessing predictive performance, generalisation
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faculty onboarding, consultation, documentation, and training activities that help research teams become productive users of HPC and GPU resources Assist faculty in identifying and pursuing external
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), including 504 NVIDIA Blackwell B200 GPUs. These resources are provisioned directly through the group's institutional allocation. The University of Florida is the state's flagship land-grant, Carnegie R1, and