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GPU programming using libraries like NumPy, SciPy, and PyCUDA. Students should also learn how to properly interface C/C++ with Python using, for example, FFI or ctypes. Given the growing importance
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engineering, and IT training and technical support to meet individual user and program needs. The individual will independently collaborate with the IT partners on Campus and School of Medicine to fulfill
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. We encourage you to apply even if your experience doesn't match every listed requirement. #YouBelongHere To learn more about our background check program, please visit: https://hr.ucdavis.edu
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high performance computing cluster Proficient programming experience in Python and libraries (e.g., Pytorch, TensorFlow) Experience in maintaining high-quality code on Github Experience in running and
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. The successful candidate will lead an innovative research program in cutting-edge AI computer system technologies. The position requires knowledge of both hardware and software aspects of large-scale AI
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chemist with expertise in Organic Chemistry to undertake an outstanding program of research leading to peer-reviewed scholarly publications and extramural funding for that research. The ideal candidate will
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computing (HPC) systems, including GPUs, and programming, such as using CUDA, MPI, AI/ML/DL, and advanced debuggers and performance analyzers. Familiarity with working on open-source projects. About UF
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to the development and implementation of AI models, research frameworks, and computational tools with a goal to advance science. This role is ideal for individuals with a passion for AI research, strong programming
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knowledge of at least one major cloud platform (AWS, GCP, or Azure) Strong programming skills in Python and infrastructure-as-code tools Proficient with containerization (Docker) and orchestration (Kubernetes
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to claim: -an unmatched faculty. -degree and open enrollment programs offered on three continents. -a global body of nearly 56,000 accomplished alumni. -strong and growing corporate relationships