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Field
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important roles: data management and engineering, machine learning and data analytics, signal and image processing, algorithm design, optimisation and simulation, software engineering and automation and
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are processed through the online application portal: https://uni-goettingen.de/en/532016.html Language requirements Good proficiency in English and/or German is required. Applicants must provide proof
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For international degrees, the equivalence will be judged during the application process. Candidates who have to follow preparatory studies before admission to the PhD in International Development Studies can be
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. Applications are processed through the online application portal. http://www.uni-goettingen.de/en/application-and-enrolment/532016.html Language requirements Applicants whose native language is not English are
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Leibniz Institute of Ecological Urban and Regional Development (IOER) • | Dresden, Sachsen | Germany | about 9 hours ago
Programme duration 6 semesters Beginning Other Application periods DLGS accepts competitive applications for: Current call (deadline: 1 September 2026) https://dlgs-dresden.de/application/funding/scholarships
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participation in the academic affairs of the Faculty and Institute of Geography. For more information: http://www.uni-goettingen.de/en/430860.html Course organisation The focus of the PhD programme lies
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Degree PhD Course location München Teaching language English Languages Courses are held in English only. PhD theses are written only in English. Full-time / part-time full-time Programme duration 6
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website for the entire admission regulations and details about the application procedure: https://www.uni-goettingen.de/en/430861.html German language skills No minimum language level required
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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
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computer scientists or life scientists who already have a training in bioinformatics and are interested in developing their career in biomedical data science. In order to be registered to the PhD programme