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Field
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partner with ORNL research organizations to enable research excellence and delivery. We work with other clustered computing and HPC groups to help research programs identify the best solutions
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requirements. 7. Managing ESXi (Dell PowerEdge) server resources, including modification of RAM, GPU, CPU, Storage Disks when necessary to ensure uninterrupted service to the users. 8. Monitoring performance
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.,, Tensorflow or PyTorch). Experience with programming and statistical software experience in Python and/or R Preferred Qualifications Work Experience: Experience with computational pathology, large vision models
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VLMs and LLMs. Proven experience with high-performance computing, including GPU server setup and maintenance Programming Skills: Proficiency in Python and frameworks like PyTorch, TensorFlow, or Keras
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communication skills to lead research computing development and coordination across the university’s colleges and programs. The AVP RCD will be an entrepreneurial domain expert with a combination of vision
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bioinformatic pipelines. The analyses will be carried out on GPUs and part will consist of data processing and visualization in order to facilitate interpretation and, in some instances, clinical reporting
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Mathematics, Physics, Chemistry or related field. Two (2) years of applicable programming experience to include Linux and/or other system administration experience (graduate level student work experience may be
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Mathematics, Physics, Chemistry or related field. Two (2) years of applicable programming experience to include Linux and/or other system administration experience (graduate level student work experience may be
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research on wireless sensing and communications, and a GPU Lab for training of advanced machine learning models. IDLab is both part of the University of Antwerp and the research centre imec. The University
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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