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An exciting work environment with the opportunity to provide important impetus for the development of sustainable solutions Exciting topics in an international environment Work in the field of marine and
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transporters, e.g. PIN auxin efflux carriers, in plant development. The projects routinely employ combinations of cell biological, biochemical and developmental approaches to deepen the understanding
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for the compatibility of family and career Support for career development A positive working atmosphere in a supportive team Good access to laboratory resources and to data of the Dortmund Vitalstudy An interesting and
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technology. Development of cutting edge foundation models for protein design, small molecule property prediction, or protein function prediction Data generation and curation, including molecular simulation and
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team to work on machine learning-supported rapeseed genomics and breeding. Your tasks: You design, train and interpret deep-learning models to predict regulatory gene variants in rapeseed genomes. You
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Leibniz University Hannover, Faculty of Mathematics and Physics Position ID: LUH_MAPHY -ALGGEOMERC25 [#25829] Position Title: Position Type: Postdoctoral Position Location: Hannover, Lower Saxony
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Do a PostDoc in Pathology AI! 11.10.2023, Wissenschaftliches Personal The Computational Pathology Lab at the Technical University of Munich (TUM), TUM School of Computation, Information and
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Your Job: We are looking for a researcher to develop and apply machine learning models for genomic data in our lab. We focus on sequence analysis, genomics, semantics, and cross-domain data
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” at Technical University Munich in the Department of Physics. The position is part of the Focus Group Molecular and Interfacial Engineering of Organic Nanosystems at the Institute for Advanced Study (IAS) headed
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institution or university in Germany. The project lifetime ends in December 2027, and this period is also included in this 12-year limitation. Interested? Then we are looking forward to receiving your