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, acquiring, managing, and working on third-party funded projects. Providing guidance and (informal) mentoring for doctoral candidates. Publishing your research results in internationally recognized peer
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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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) Student Administration University Library Online Course Catalogue Webmail Uni Tübingen Advice for International Students Uni-Tübingen University Back Profile Back Facts and Figures Values and visions Awards
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JUNIQ’s user platform by integrating QCs into the Modular Supercomputer of JSC Developing and conducting trainings for QC users Collaborating with project partners from academia and industry Presenting
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well as the opportunity to design and construct instruments and/or sample environments Establishment of cooperation projects with institutes at Forschungszentrum Jülich working on energy materials Supervision of MSc and
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science) Project management experience and good self-management Interest to work on a collaborative project with international partners and direct links to policymakers Excitement to work in an
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management. Our group combines empirical work (with experiments in the field and in the lab) and modelling techniques. The focus of this postdoctoral position is the generation of empirical datasets
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exchange with industrial and scientific partners during the project, Co-supervision of PhD candidates and Master’s and Bachelor’s students on projects related to 6G-Life, Funding acquisition and management
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on the Bildungscampus Heilbronn (Heilbronn Education Campus). TUM Campus Heilbronn focuses on the areas of managing digital transformation, family businesses, and computer science. Requirements - Master’s degree in
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the understanding of the trade-offs between production, mitigation and conservation in livestock-based systems, and to identify innovative mechanisms for landscape-level management. Our group combines empirical work