11 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "Imperial College London" scholarships at University of Tübingen in Germany
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30.01.2026 Application deadline: 15.02.2026 The Plant Ecology Group at the University of Tübingen is looking for Two PhD students (m/f/d, E13 TV-L, 50%) within the SAGE Centre (https://sage
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. Tübingen is an international, dynamic, and lively university town. For more details about the ZMBP, please visit: http://www.zmbp.uni-tuebingen.de/zmbp.html How to apply Interested applicants should submit a
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of molecular and biological matter using X-ray and neutron scattering. One of the research areas is the development of machine learning (ML) based approaches to efficient analysis of the vast data amounts
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of molecular and biological matter using X-ray and neutron scattering. One of the research areas is the development of machine learning (ML) based approaches to efficient analysis of the vast data amounts
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machine learning tools for the efficient analysis of the experimental data. For more information, visit our web page www.soft-matter.uni-tuebingen.de We are looking for a motivated PhD student to contribute
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programme, please see https://uni-tuebingen.de/en/faculties/faculty-of-science/doctoral-studies/ and https://www.phd.tuebingen.mpg.de/imprs? Assessment Submitted applications will be reviewed by IMPRS
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machine learning tools for the efficient analysis of the experimental data. For more information, visit our web page www.soft-matter.uni-tuebingen.de We are looking for a motivated PhD student to contribute
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to acquire these skills during the project. Experience with micromorphology, fabric analysis, or sedimentary aDNA is desirable but not mandatory. The successful applicant is expected to work
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to academic feedback. The work will be grounded in psychological theories of learning and motivation. We welcome applicants from psychology, cognitive science, cognitive and affective neuroscience