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Field
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, standards, and guidelines. Report, research, troubleshoot and resolve problems and support requests for Windows, Mac and Linux computer systems, data network infrastructure services, websites and their
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turbulent combustion applications, as well as parallel scientific computing. Knowledge of deep machine learning (using TensorFlow, PyTorch, etc.) for multi-fidelity modeling, regression tasks, management and
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department timelines, standards, and guidelines. Report, research, troubleshoot and resolve problems and support requests for Windows, Mac and Linux computer systems, data network infrastructure services
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. utilities, libraries, plugins) Experience with parallel file systems (e.g. Lustre, GPFS) Experience in high performance computing (HPC) environment. Experience with configuration management software such as
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CEBEX laboratory at LHO. In parallel, the chosen candidate will take a lead role in forging results of these investigations into a conceptual design, construction and installation plan, and parametric
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in accordance with grant agreements and accounting standards. Partner with department research administrators to gather supporting documentation and understand program/research activities related
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Scheduled Hours 40 Position Summary Assists with research projects being conducted in the Integrated Biomedical Imaging Lab (IBIL) including computational data analysis, technical preparation
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clusters, including CPU and GPU architectures; Proficiency with job schedulers (e.g., Slurm); Knowledge of parallel and distributed computing principles; Understanding of data security and compliance
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well as the effects of electrical stimulation on neural signals and cognition. The successful candidate will work on multiple projects in parallel. The candidate will also supervise other researchers including
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University of California, San Francisco | San Francisco, California | United States | about 2 months ago
, translational and clinical research in the fields of drug development, pharmacogenomics, therapeutic engineering and computational biology. It educates PharmD, MD professionals and PhDs in bioengineering and