31 parallel-computing-numerical-methods-"Simons-Foundation" positions at Heidelberg University in Germany
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focus on sustainability Research of AI-based methods to support content-related and organizational processes in teaching, study administration, and administration in general Maintenance, support, and
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population health issues. Methods used in the group’s work include quasi-experimental techniques, descriptive epidemiology, and randomized trials. The fellow will be expected to publish in high-impact peer
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campus for natural and life sciences in Germany, bridging engineering sciences, computational sciences, and life sciences. Heidelberg University invites applications for the following full-time postdoc
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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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users: provide project consultation, training and hands-on support, schedule and prioritize measurements, and ensure timely data delivery Drive method development for single-cell MSI and integration with
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the field of gerontopsychiatry using modern translational methods. This includes disease-modifying therapies for neurodegenerative diseases, the research and establishment of biomarkers, and the generation
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to supervise PhD, Master and Dr. med (thesis as part of medical studies in Germany) students. The fellow will also have the opportunity to teach as part of the institute’s Masters and doctoral program but will
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2025 - 23:00 (UTC) Type of Contract To be defined Job Status Full-time Hours Per Week To be defined Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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biology, biomedicine, biotechnology, bioinformatics or a related field Experience in molecular biology methods (e.g. PCR, NGS, cell culture) and/or functional cell assays Strong interest in cancer biology
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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