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, German Diploma, or equivalent degree in life sciences, physics, chemistry, informatics, or a related field Final grade of 2.0 or better (according to the German grading system) German language skills
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); contributes to SDC’s master programmes through teaching and guest lectures (Digital Innovation, research methods, computational methods, and case material from the candidate’s own fieldwork); contributes
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). Please also plan ahead to inform and get consent from two academic referees who agree to submit reference letters on your behalf. Applications for the PhD programme in Solar System Science may be
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has no deadline listed. Combined Master's degree / PhD programme No Joint degree / double degree programme No Description/content Digitisation and advances in data science, including artificial
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neurosciences, but also from other related fields, such as life sciences, mathematics, physics, computational sciences, and engineering as well as philosophy. For more information, please visit https://www.en.uni
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activities. A list of potential PDS supervisors is available from https://www.uni-goettingen.de/en/577092.html (choose “Data Science” as the programme in the drop-down menu). Course organisation Upon
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Leibniz Institute of Ecological Urban and Regional Development (IOER) • | Dresden, Sachsen | Germany | about 15 hours ago
Degree Dr Course location Dresden In cooperation with Dresden University of Technology Teaching language English Languages The programme is conducted in English. Full-time / part-time full-time
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Course organisation The PhD programme in Mathematical Sciences at the University of Göttingen as well as the associated research training group "Fourier Analysis and Spectral Theory" provide a teaching
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guest lecturers Opportunities for students to work abroad Description of other international elements The PhD programme is part of the TUM Medical Graduate Centre and the TUM Graduate School. Students
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and supervision Yes Research training / discussion Yes Support for international students and doctoral candidates Buddy programme Ludwig-Maximilians-Universität München Please visit: https://www.en.uni