18 requirements-engineering "https:" "https:" "https:" "https:" "https:" positions at University of Tübingen in Germany
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on addressing the multiple crises of global change ( www.terra-cluster.org ). We offer an excellent and interdisciplinary research environment ( https://uni-tuebingen.de/en/236226) in an international
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Biological Cybernetics in Tübingen. The Hector Research Institute ( https://uni-tuebingen.de/en/80946 ) is a nationally and internationally leading research center in education science and psychology. The
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in an international environment and will interact with maize researchers across Germany as part of the Cereal Stem Cells Systems Consortium Requirements: Self-motivated, creative, team member
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postdoctoral qualifications and teaching experience equivalent to the requirements of a full professorship. A track record of international research and experience in the acquisition and implementation of
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qualifications and teaching experience equivalent to the requirements of a full professorship. The University of Tübingen is committed to equity and diversity and actively promotes equal opportunities. Female
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include a PhD or equivalent degree with exceptional expertise in machine learning as well as postdoctoral qualifications and teaching experience equivalent to the requirements of a full professorship
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computational environments and data handling routines Presentation of the scientific results on conferences and in publications Requirements Master’s degree in physics or chemistry, computer science or
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according to TV-L 13 (https://oeffentlicher-dienst.info/tv-l/allg/) 65% Starting date: 01.03.2027 Application submission deadline: 22.11.2026 Project: The successful applicant will study temporal and spatial
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Ethics Laboratory and the Cluster of Excellence can be found here: https://uni-tuebingen.de/en/research/core-research/cluster-of-excellence-human-origins/ Back Share Share on Facebook (opens in new
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continuous professional development in line with the project’s requirements. In addition, the following qualifications would be considered an asset: Experience with longitudinal data and/or machine