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): Proof of current enrolment in a Master's or doctoral programme (if you are currently studying) or proof of your PhD degree (if you have just completed your PhD) University transcript indicating final
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available in the further tabs (e.g. “Application requirements”). Programme Description The Carl Duisberg fellowship offers individual support to students in the disciplines of human or veterinary medicine
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to mastering the great challenges facing society today. At the Institute of Radiopharmaceutical Cancer Research scientists (f/m/d) from the fields of physics, chemistry, biology, pharmacy, immunology, medicine
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to spend time studying in Germany as part of a second or Master's degree programme in your home country, you must submit proof that credits acquired in Germany will be recognised by your home university
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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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on the topic assigned for each position. Requirements: outstanding university degree (typically M. Sc.) in Computer Science, Data Science, Statistics, Mathematics or another relevant field study with good GPA
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available in the further tabs (e.g. “Application requirements”). Objective This scholarship programme offers you the opportunity to continue your education in Germany with a postgraduate or complementary
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disciplines are eligible: legal sciences political science/international relations business/economics humanities and social sciences natural sciences computer science medicine architecture, only in connection
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applicant will be enrolled as a doctoral candidate at the Karlsruhe Institute of Technology (KIT) and will work on the above-mentioned topic. Personal qualification You have an excellent master’s degree in
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market. Academic Requirements Applicants are enrolled in a Bachelor’s programme at a German institution of higher education, college of art or music (humanities, economic sciences or STEM disciplines), and