322 computer-science-programming-languages-"St"-"ST"-"UNIVERSITÄT-DUISBURG-ESSEN" positions at DAAD in Germany
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represent stakeholder preferences. The integrated Research Training Group (RTG) will provide doctoral researchers with an attractive qualification program, foster networking, enable internationalization and
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, computer science, natural sciences and engineering. Who can apply? The scholarship programme is aimed at high-achieving students from developing and emerging countries who would like to complete a Master’s degree in
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) and should be used for a doctorate. Participation in the accompanying doctoral program is compulsory. This serves to impart both scientific and methodological knowledge and offers the opportunity
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and Natural Sciences in the 2nd semester of their 2 year Master’s programme or 4th Semester of their 3 year MTech programme or in the 8th semester of an integrated / dual degree programme. What can be
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Financing yes Type of Position Full PhD Working Language German English Required Degree Master Areas of study Husbandry, Agricultural Science, Geosciences, Environmental Science, Nature Conservation
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Financing yes Type of Position Full PhD Working Language German English Required Degree Master Areas of study Husbandry, Agricultural Science, Geosciences, Environmental Science, Nature Conservation
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, or earlier if a German language course is taken prior to the study programme The scholarships are awarded for the duration of the level of training for the chosen study programme (between 10 and 24
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of the German language (general language) as well as German regional and cultural studies. It will probably not be possible to apply for this programme again until summer 2026 Who can apply? Applications are open to
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%) in Mathematics for the project “Quantized vortices and nonlinear waves” The CRC has been funded by the German Research Foundation (DFG) since 2015. Its goal is to analytically understand, numerically
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computer science, bioinformatics or related fields Solid understanding of machine and deep learning and relevant frameworks (e.g. Pytorch or Tensorflow, Keras, scikit-learn, OpenCV) Proficiency in Python, Linux and