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IT colleagues and scientists at COS Heidelberg and the University Computing Center Management and migration of large amounts of data Metadata management and archiving Planning, implementation
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Development of robust, simulation-based inference tools for the purpose of characterizing (young) stars Application of the developed tools to survey data of (large) star-forming regions to derive detailed star
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body Own research projects within the scope of the lab, focusing on Synthetic Biology and Synthetic Genomics, and relying on proficiency in generating, analyzing, and interpreting large data sets (e.g
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concepts in cooperation with IT colleagues and scientists at COS Heidelberg and the University Computing Center Management and migration of large amounts of data Metadata management and archiving Planning
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University, including population health researchers, clinicians, and methodologists. The researcher will lead analyses in large-scale electronic health record data to determine the real-life effectiveness