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members to advance science for the benefit of society. Join us in exploring new paths and creating success stories – both your own and the university’s. We are looking for your support from 01.12.2025, in
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energy system model workflows Your Profile: Master’s degree in computer science, data science, natural sciences, economics, engineering, mathematics or a related field of study Huge interest in data
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are shaping the technologies and processes for the future of digital production, packaging and scanning technology and many other laser-based applications, e.g. 3D printing and laser fusion. Are you looking
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Description TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in the country. Founded in 1828, today it is a globally
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Leibniz-Institut für Präventionsforschung und Epidemiologie – BIPS GmbH | Bremen, Bremen | Germany | 7 days ago
4 Sep 2025 Job Information Organisation/Company Leibniz-Institut für Präventionsforschung und Epidemiologie – BIPS GmbH Department Prevention and Evaluation Research Field Medical sciences » Health
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very good master's degree in a topic-related field (computer science, automotive engineering, electrical engineering) Experience in scientific work, project acquisition as well as management experience
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, Wissenschaftliches Personal The Livestock Systems research group at the TUM School of Life Sciences is recruiting a postdoctoral researcher (m/f/d) to work on grassland restoration. The aim of our group is to improve
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excellent degree (Master of Science or equivalent) in machine learning, mathematics, robot learning, or a related field (please attach the relevant certificates to your application) A solid theoretical
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to the outside world Your Profile: You have a Master’s degree in the field of computer science, mathematics, engineering, a related discipline or of communication science. Proven experience in community management
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the following fields: PhD in Atmospheric and Oceanic Science and Technology Female applicants and candidates from less privileged regions or groups are especially encouraged to participate in the programme