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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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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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systems Data analysis, interpretation, and collaboration within the CRC: bioinformatics-assisted interpretation of molecular and functional data, close interaction with collaborating groups Your Profile
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invasive sensing tools to monitor metabolites, oxygen, carbon dioxide, pH, and other parameters. Ideally, the methods can function in parallel and on a large scale. The research is vital to understand key
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lines; generation of samples for proteomics analysis Data integration and analysis, including transcriptomic, proteomic and library screen data Target validation by CRISPR-Cas9 knockouts in primary AMLs
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relevant experience in management and administration in a similar position; knowledge of the structures of large research groups and university administration Experience in drafting manuscripts and research
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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
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Heidelberg University and Stanford University, including population health researchers, clinicians, and methodologists. The researcher will lead analyses in large-scale electronic health record data