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Position Details Position Information Recruitment/Posting Title Lead Software Developer – GPU-accelerated Free Energy Simulation and Machine Learning Methods Department Quantitative Biomedicine Inst
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enabled medical physics simulation, Cosserat rod theory to support hands-on class activities and development of NVIDIA GPU-based course modules.) Demonstrate and support demo or integration
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are looking for an experienced software engineer to help with the development and maintenance of our GPU-native hypersonic CFD software. A successful candidate will be able to demonstrate proficiency in
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, automating, and optimizing the GPU and AI and computing infrastructure used by researchers across the university, along with the high-performance computing systems that support it. This position will be filled
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, automating, and optimizing the GPU and AI and computing infrastructure used by researchers across the university, along with the high-performance computing systems that support it. The position will be filled
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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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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
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to introduce state-of-the-art AI tools, accelerating technology transfer and hands-on learning opportunities. Design and deploy high-performance AI systems using GPUs and hardware accelerators. Job Description
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strategies to port multi-dimensional integrodifferential equations, describing higher order scattering/correlations to specialist large scale GPU hardware. Carry out independent research, work closely with