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Field
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candidates working in formal methods and/or computer systems with interests in one or more of the following areas: machine-checked verification of systems software, GPU kernel semantics and verification, and
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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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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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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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), 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
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resources, including 2 HPC clusters with a combined 180,000 cores, 600 GPUs, and 60PB of raw storage. FRFs may be eligible for subsidized housing within walking distance of the CCA. These positions will be
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research budget and have access to the Flatiron Institute’s powerful scientific computing resources, including 2 HPC clusters with a combined 180,000 cores, 600 GPUs and 60PB of raw storage. FSRFs may be
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focuses on the development of GPU-accelerated, high-fidelity thermal runaway simulation models for lithium-ion battery cells, modules, packs, and complete battery systems. Thermal runaway is a chain
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computational modelling of additive manufacturing and develop high-performance GPU-based CFD solvers. Qualifications • With PhD degree • Strong research experience in developing GPU-based
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with leading machine learning frameworks and modern AI environments, including multi-GPU model training and large-scale inference on dozens to hundreds GPUs, are required. Additional Qualifications