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are enrolled in a master's program in statistics, data science, or a related field You have a strong interest in biological research questions and enjoy working in a systematic, analytical manner You
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understanding circularity through material flow analyses with the REMIND-MFA model, which is coupled to REMIND further refining our model dynamics and validating our model against newly published empirical data
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spoken English Strong analytical and independent working style Excellent teamwork and communication skills You are independent, motivated, and passionate about shaping the energy transition
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knowledge of written and spoken English High degree of motivation and reliability and analytical working style Excellent ability to cooperate and work in a team Our Offer: We work on the very latest issues
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only in English. Full-time / part-time full-time Programme duration 6 semesters Beginning Winter semester Additional information on beginning, duration and mode of study Successful applicants will then
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/semester-ticket/index.html Costs of living See our "Life in Munich" webpage for more information: https://www.gsn.uni-muenchen.de/apply/living_in_munich/index.html Funding opportunities within the university
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founded by the Hasso Plattner Institute (HPI) and the University of Potsdam. HPI "Information and Data Engineering" Research School Teaching language English German Languages English is the main language of
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our group "Computer Vision and Machine Learning" in developing AI models and transferring them into production. In the master's thesis "Exploring latent spaces of deep networks for fault analysis in
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Materials« » Mathematics for Vehicles, Systems and Processes« » Analytics and Computing« What you contribute The requirements for your field of activity depend on the respective research area. In principle, a
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check our website for more information: https://www.uni-goettingen.de/de/635183.html PhD students with their own funding (e.g. DAAD) can join at any time. Tuition fees per semester in EUR None Combined