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, transplant rejection and autoimmunity. The objective of the LIT is to develop innovative and efficient cellular immune therapeutics in these areas. Our own GMP laboratories and close networking with University
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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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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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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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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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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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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
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research institution or university in Germany. The project lifetime ends in December 2027, and this period is also included in this 12‑year limitation. Severely disabled persons and those equaling severely