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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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Helmut-Schmidt-Programme (Master’s Scholarships for Public Policy and Good Governance - PPGG) • DAAD
list of countries), who want to promote democracy and social justice in their home countries. The programme, which is funded by the German Federal Foreign Office, offers the chance to acquire a Master’s
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Financing yes Type of Position Full PhD Working Language German English Required Degree Master Areas of study Husbandry, Agricultural Science, Geosciences, Environmental Science, Nature Conservation
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) and should be used for a doctorate. Participation in the accompanying doctoral program is compulsory. This serves to impart both scientific and methodological knowledge and offers the opportunity
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or very good university degree (diploma, master's degree) in transport or related study programs (e.g., civil engineering, industrial engineering, computer science, etc) with a solid foundation in transport
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qualification program incorporating hybrid lectures, weekly seminars (hybrid and on-site), lab rotations and hands-on training annual summer/winter schools and complementary skills workshops TUD strives to employ
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available in the further tabs (e.g. “Application requirements”). Programme Description Since 1997, the Heinrich-Böll-Foundation supports graduates from Latin America through its Sur-Place Programme in Mexico
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theory and code development. Basic programming skills are expected. General requirements: very good university degree (M.Sc. or equivalent) in chemistry, physics, or materials sciences; specialization
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available in the further tabs (e.g. “Application requirements”). Programme Description The Indo-German Science & Technology Centre (IGSTC), established as a joint initiative of the Department of Science and
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computer science, bioinformatics or related fields Solid understanding of machine and deep learning and relevant frameworks (e.g. Pytorch or Tensorflow, Keras, scikit-learn, OpenCV) Proficiency in Python, Linux and