280 computer-algorithm-"St"-"Washington-University-in-St"-"St" positions at DAAD in Germany
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available in the further tabs (e.g. “Application requirements”). Programme Description The Fulbright programme is aimed at financing academic stays by US citizens in Germany. It offers a range of different
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available in the further tabs (e.g. “Application requirements”). Objective The programme aims at fostering strong, internationally oriented higher education systems in Southeast Asia with the capacity
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available in the further tabs (e.g. “Application requirements”). Objective The programme aims at fostering strong, internationally oriented higher education systems in South Asia with the capacity
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on performance and project needs. **Qualifications** • For Doctoral Candidates: Master’s degree in Computer Science, Information Systems, or Mathematics. **Applicants must demonstrate:** • An excellent academic
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available in the further tabs (e.g. “Application requirements”). Objective The scholarship programme “Leadership for Africa” (LfA) aims to support the academic qualification and advancement of young refugees
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available in the further tabs (e.g. “Application requirements”). Programme Description The programme sets up paid and unpaid internships mostly in the fields of business administration and marketing, business
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performance. They apply and develop a broad range of interdisciplinary technologies ranging from genetics and genomics to structural biochemistry, advanced imaging and computational and mathematical modelling
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available in the further tabs (e.g. “Application requirements”). Programme Description The DBU awards up to 50 fellowships per year for advanced qualification in all fields of environmental protection and
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position (contract-based) and one PhD fellowship in Computational Biophysics/Chemistry (see also https://constructor.university/comp_phys). The PhD position is focused on efficient algorithms
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Description Where: At the Chair for Computational and Theoretical Biology ( CCTB ) and the Center for Artificial Intelligence and Data Science ( CAIDAS ) of the University of Würzburg. Project