34 data-science-"https:"-"https:"-"https:"-"https:" Fellowship research jobs in Germany
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computational approaches to digital education data. The position is funded through a collaborative project between the Hector Research Institute of Education Sciences and Psychology and the Max Planck Institute
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21.05.2026, Academic staff The Chair of Complex Soft Matter at the TUM School of Life Sciences Weihenstephan is seeking to appoint a Postdoctoral Research Fellow (m/f/d) - Lab Automation and Data
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. The Hector Research Institute (https://uni-tuebingen.de/en/80946 ) is a nationally and internationally leading research center in education science and psychology. The Max Planck Institute for Biological
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sciences, public health, or data science in medicine. Academic Requirements Master's or PhD students; Bachelor's students and postdocs cannot receive funding. Duration up to 6 months Scholarship Value
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data science with fundamental or applied studies with relevance to the crop science industry. Students from Germany who are going abroad for a study or research project or practical work experience or
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for up to 6 months in Lower Saxony (Germany). The programme is a funding initiative of zukunft.niedersachsen, a joint programme of the Lower Saxony Ministry of Science and Culture and the Volkswagen
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subjects: natural science pharmacy data science Academic Requirements enrolment in a Master's or PhD programme Duration up to 6 months Scholarship Value individual financial funding up to 10,000 EUR
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Max Planck Institute for the History of Science, Berlin | Berlin, Berlin | Germany | about 7 hours ago
Job Offer from October 01, 2026 First Research Article Fellowship Program at the Max Planck Institute for the History of Science, Berlin 01 September 2027 – 28 February 2028 The Max Planck
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the opportunity to contribute to the Public Science Lab, the Ethical Data Initiative (www.ethicaldatainitiative.org), the TransforM excellence cluster and the PHIL_OS project (https
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of molecular data. While machine learning has transformed fields such as computer vision and natural language processing, the molecular life sciences remain a rich frontier for methodological innovation