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language. Programme duration 6 semesters Beginning Winter and summer semester Application deadline Varies, please check our website Tuition fees per semester in EUR None Combined Master's degree / PhD
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on methods development in machine learning, uncertainty quantification and high performance computing with context of applications from the natural sciences, engineering and beyond. It is embedded in
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-level training will be specified in an individual supervision agreement, with suitable courses to be chosen from the department's Master's programme economics. Language requirements Applicants must
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at various levels (international scientific journals and conferences, practice-oriented formats) Your qualifications Completed studies in sociology, political science, environmental planning, resource
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. The successful candidate will receive careful mentorship both from the supervisor and from other peers through a dedicated mentorship program. Technical queries should be directed to Benedikt Jahnel
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Max Planck Institute for Extraterrestrial Physics, Garching | Garching an der Alz, Bayern | Germany | 2 months ago
program, funded by the German Science Foundation. The PhD position will be supervised by Prof. Werner Becker at MPE Garching. Our Offer A versatile, challenging and autonomous job in a dynamic and
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, or a related discipline Interested in climatology/meteorology as well as quantitative methods Prior experience in programming is a plus (e.g., using R or Python) Good communication skills and a high
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University Bremen Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research Teaching language English Languages 100% English Full-time / part-time full-time Programme duration 6 semesters
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, Helmut Schmidt University, and Hamburg University of Applied Sciences Teaching language English Languages All relevant courses are held in English. Programme duration 6 semesters Beginning Only
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that demand interdisciplinary solutions? Then the Program for Collaborative Doctoral Projects offers a perfect opportunity for you. Today’s most pressing problems can only be solved in cross-institutional