40 parallel-computing-numerical-methods-"Prof" positions at Heidelberg University in Germany
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Master degree (or similar) in molecular biology, biomedicine, biotechnology, bioinformatics, or a related field Experience in molecular biology methods (e.g. PCR, NGS, cell culture) and/or functional cell
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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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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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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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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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empower researchers to collaborate across institutions, utilizing cloud and on-premise computing and storage resources to drive scientific innovation. The University Computing Centre (URZ) is the central IT
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empower researchers to collaborate across institutions, utilizing cloud and on-premise computing and storage resources to drive scientific innovation. The University Computing Centre (URZ) is the central IT
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funded via the Nexus program of the Carl-Zeiss-Stiftung. ITA is embedded in the Center for Astronomy of Heidelberg University, which also includes the Astronomisches Rechen-Institut (ARI) and the
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addition to this core project, the research group works on a wide variety of research, with foci being medication effectiveness, health services research, and population health issues. Methods used in the group’s work
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Organoid Engineering for Multi-Organ Interaction Studies (POEM) program ( www.uni-heidelberg.de/en/cctp-poem ) brings together expertise in material science, computer science/machine learning, biophysics