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(4) interface with engineering, mathematics, information and computer science communities, serving as a hub for quantitative scientists focused on biomedical research. This department leads multiple
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petascale supercomputer that joins the Center’s data-intensive Gordon cluster. SDSC is a partner in XSEDE (eXtreme Science and Engineering Discovery Environment), the most advanced collection of integrated
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, clinical research informatics, biomedical data modeling and ontologies, biomedical natural language processing and information retrieval, medical artificial intelligence, privacy technology, global health
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of start) PhD degree in Bioengineering, Biomedical Engineering or related Bioengineering field. Preferred qualifications Applicants with (1) postdoctoral experience, (2) at least one year of prior
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problem-solving skills. Thorough knowledge of web, application, and data security concepts and methods. A Masters or PhD in a computational and/or data science-related field (e.g. computer science