31 parallel-computing-numerical-methods positions at Heidelberg University in Germany
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the emergence of FLT3-inhibitor resistant clones. The aim of this PhD position is to investigate primary cells, PDX and cell line models, and use a variety of methods to specifically identify adaptive changes in
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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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culture Develope new methods like gonadal organoids or work with primary patient’s cells Specific data entry, documentation, and archiving work Your profile Successfully completed a Master’s degree in Cell
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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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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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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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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