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Ph.D. or equivalent degree in mathematics, physics, computer science, bioinformatics, or a related field Experience in developing deep learning models Ideally, prior experience in analyzing biological
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robotic approaches to assist with uncovering novel disease biology, with an initial emphasis on gastrointestinal organoids in collaboration with the Boutros group, while retaining flexibility to extend
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Max Planck Institute for Astronomy, Heidelberg | Heidelberg, Baden W rttemberg | Germany | 14 days ago
are granted according to the regulations for public service. We also provide a canteen, support for work-life balance, including assistance with finding childcare facilities and housing if needed, discounted
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of Orthopaedics and Sports Orthopaedics and the Institute for AI and Informatics in Medicine. We work at the intersection of artificial intelligence, medical imaging, and clinical practice, developing methods
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on the data recorded in the team, you will develop and test machine learning algorithms for perovskite tandem solar cells' energy yield and degradation Data cleaning and preparation Assisting integration
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excellent public transport connections and free parking attractive sports and health facilities (university sports) the option to work from home Please send your application with the usual documents by email
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is connected to the vibrant local ecosystem for data science, machine learning and computational biology in Heidelberg (including ELLIS Life Heidelberg and the AI Health Innovation Cluster ). Your
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direction of research family-friendly, flexible working time models, part-time option, remote work, additional days off on December 24 and 31 corporate health management and sports activities through egym
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Deutsches Zentrum für Neurodegenerative Erkrankungen | Bonn, Nordrhein Westfalen | Germany | 21 days ago
is important, we support you with parent-child offices, family services and daycare co-operations Health promotion – through our extensive range of company health programmes, in cooperation with
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2 Sep 2025 Job Information Organisation/Company Universitaetsklinikum Erlangen Research Field Computer science Researcher Profile Recognised Researcher (R2) Country Germany Application Deadline 30