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Brandenburg University of Technology Cottbus-Senftenberg • | Cottbus, Brandenburg | Germany | about 6 hours ago
of Global Change and Transformation Processes, Energy Transition and Decarbonisation as well as Health and Life Sciences. The programme is affiliated to the Faculty of Environment and Natural Sciences
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Infrastructure? No Offer Description Work group: IAS-9 - Materials Data Science and Informatics Area of research: Promotion Job description: Your Job: The PhD project is methodologically independent, with
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application which projects and principal investigators provide the best match with your background and interest. For more detailed information on the program and the application procedure please refer to www.2d
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Course location Karlsruhe Description/content The Cluster of Excellence 3D Matter Made to Order (3DMM2O) is a Research Cluster jointly run by Karlsruhe Institute of Technology (KIT) and Heidelberg
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for the candidate to join the programme. Submit application to kirsten.lochbuehler@med.uni-muenchen.de Accommodation The International Office helps visiting academics, PhD students, and postdocs who are travelling
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Max Planck Institute of Microstructure Physics • | Halle, Sachsen Anhalt | Germany | about 5 hours ago
are held in English. Participants can choose to write their doctoral theses in English or German. Programme duration 6 semesters Beginning Only for doctoral programmes: any time Application deadline There is
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science. The proof must be submitted to the programme commission, which may propose further qualification measures in consultation with the supervisor. Language requirements Excellent English Submit
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of MarMic students enter the PhD programme and subsequently graduate with a PhD thesis within three to three and a half years. A Master of Science (MSc) degree is available for students who do not qualify
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14.08.2023, Wissenschaftliches Personal The Chair Group of Production and Resource Economics at the TUM School of Life Sciences Weihenstephan and the TUM School of Management offers two positions as
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: A completed university degree (Master or equivalent) in computer science, data science, applied mathematics, physics, materials science, or a related field Prior experience in computer vision, deep