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., Diploma) in either computer engineering, computer science, electrical engineering or any related natural science very good programming skills in C, C++ fluency in English, knowledge of German would be a
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supervision collaboration in national or international research projects (optional) Requirements: university degree in Computer Science, Computational Linguistics, Mathematics or a related field solid knowledge
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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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programming skills in one or more languages (Matlab, Python, R, C, Fortran) excellent knowledge of English (written and spoken) high degree of motivation, creativity, and flexibility ability and willingness
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academic degree) in the field of Economics and Business Administration at the latest by the time you commence your scholarship-supported study programme. What can be funded? A complete Master's degree
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experimental soft matter research a supportive and enthusiastic atmosphere in-depth training in interdisciplinary soft matter science individual supervision and mentoring a PhD student mobility program with
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and Data Science (MIDS) at the KU Eichstätt-Ingolstadt. The research group works at the intersection of analysis, modeling and simulation. The advertised position is partly funded by the German Research
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available in the further tabs (e.g. “Application requirements”). Programme Description The programme is intended for outstanding junior post-doctoral scientists from Germany, Austria and Switzerland from all
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available in the further tabs (e.g. “Application requirements”). Objective The programme supports students from the Sultanate of Oman. Who can apply? The programme is aimed at applicants with a secondary
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available in the further tabs (e.g. “Application requirements”). Objective The aim of the programme is to offer doctoral candidates from Taiwan the opportunity to become acquainted with the German research