292 computer-science-intern "https:" "https:" "https:" "https:" "UCL" "UCL" positions at DAAD in Germany
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available in the further tabs (e.g. “Application requirements”). Programme Description The merit-based programme gives outstanding international students the opportunity to study at Universität Hamburg
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in international scientific journals and at international conferences and workshops Your profile master’s degree in mechanical engineering, materials science, computational engineering, computer science
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Description Thinking of doing your PhD in the Life Sciences? The International PhD Programme (IPP) Mainz is offering talented, young scientists the chance to work on cutting edge research
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Description Thinking of doing your PhD in the Life Sciences? The International PhD Programme (IPP) Mainz is offering talented scientists the chance to work on cutting edge research projects
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about doing research on topics where digital technology and sustainable development meet. The Digital GreenTalents Award supports the international exchange of innovative digital ideas and offers a great
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research group. We value quality over quantity, both in terms of group size and when choosing publication venues. The lab is embedded into an excellent environment for research in computer science, with
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Description Thinking of doing your PhD in the Life Sciences? The International PhD Programme (IPP) Mainz is offering talented scientists the chance to work on cutting edge research projects
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supports studies in subject areas with strong relevance to national development. The scholarships at UGM are available in the following fields: Master Programme in Geological Engineering Female applicants
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first academic degree if applying for a Master’s programme, who want to pursue Master’s courses, at the Asian Institute of Technology (AIT). What can be funded? The In-Country/In-Region Scholarship
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. Candidates are required to have: master’s degree (or equivalent) in Chemistry, Physics, Materials Science, Nanoscience, Computing in Science or a closely related field strong background in X-ray based methods