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, publication of scientific articles, participation in projects, etc. Demonstrable knowledge of parallel and distributed programming Languages: English at C1 level or above Other: The following will be
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experience Strong practical knowledge of machine learning with large datasets Experience : Experience with cloud-based, parallel, or distributed computing environments Hands-on experience developing or
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experience Strong practical knowledge of machine learning with large datasets Experience : Experience with cloud-based, parallel, or distributed computing environments Hands-on experience developing or
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experience Strong practical knowledge of machine learning with large datasets Experience : Experience with cloud-based, parallel, or distributed computing environments Hands-on experience developing
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experience Strong practical knowledge of machine learning with large datasets Experience : Experience with cloud-based, parallel, or distributed computing environments Hands-on experience developing
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statistical inference techniques. Experience with health economic evaluations. Experience with parallel and/or high-performance computing. The grade of appointment will be accorded based on candidate’s
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processing and management, parallel programming, computational tool/pipeline development, supercomputing, and/or cloud computing. o Experience in microbiome and system biology studies related to
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Department Provost Research Computing Center About the Department The University of Chicago Research Computing Center (RCC), a unit in the Office of Research, provides high-end research computing
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, prototypes, evaluates, and scales cutting-edge computing environments, automated workflows, and advanced intelligence applications. The unit focuses on shifting manual paradigms into optimized digital
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systems techniques. Proficiency in programming languages such as Python, C++, or similar, as well as experience with HPC environments and parallel computing. Demonstrated hands-on experience and