107 assistant-professor-computer-"https:"-"https:"-"https:"-"https:" positions at Nature Careers in Germany
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PhD in computer science, physics, mathematics, or a related discipline Strong expertise in image analysis and/or machine learning, with a deep understanding of how data characteristics impact downstream
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Solution Architect Reference number: 2026-0039 The Division of Intelligent Medical Systems (IMSY) is an interdisciplinary research division working at the interface of computer science, physics, statistics
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are described here . Research Environment The University of Konstanz has been successful in the German Excellence Initiative and its follow-up programme, the Excellence Strategy and is among the most highly
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analyzing developmental-oncogenic signaling pathways using a combination of experimental and computational approaches. Within this project, we are creating perturbation-based genetic maps at the level of
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member of our team, you can be sure that we will help you settle in. Our Family Office and International Office will be glad to support you, even before you start at AWI. This research center is part of
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with clinical PACS systems and DICOM data handling Knowledge of Python and/or MATLAB, especially in scientific computing and image processing contexts Enthusiastic and motivated team player Good
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collaboration partners Your Profile Academic degree (M.Sc. and Ph.D.) with a background in computer science, bioinformatics, physics, or a related field Proven experience in next-generation sequencing (NGS) data
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program in Evolutionary Anthropology. The position offers substantial core funding to support an independent research group. Office and laboratory space will be provided both at Leipzig University and at
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focused on W7-X. You will develop and implement a visionary research program aligned with W7-X’s scientific goals and IPP’s strategic priorities. You will strengthen collaboration across IPP’s sites and
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participants Apply advanced analytical methods for integrative multi-omics analyses Implement state-of-the-art statistical and computational techniques for disease prediction Leverage extensive, high-quality