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with respect to academic credentials. Qualification requirements: Master’s degree or equivalent in Artificial Intelligence Computer Science Foreign completed degree (M.Sc.-level) corresponding to a
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. The position requires participation in the Faculty of Social Sciences' organised research education programme (PhD programme) and the completion of a doctorate in human geography. The candidate who is hired will
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of Social Sciences CV with full summary of education, practice and academic work (including any publications). The period of enrolment (admission-completion) in the master's study programme must be specified
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is a new initiative that organises the local bioinformatics community and drives bioinformatics innovation by integrating computational and biological sciences to address complex life science
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Machine learning connected to the Scientific Computing and Machine Learning (SCML) group at the Department of Informatics. The candidate will be part of and contribute to the research activities in
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requirements for admittance to the Faculty of Social Sciences’ PhD program. The Master’s degree must be of high quality (grade A or B) and within a specialization of relevance to the economics of innovation and
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to the successful completion of a PhD degree. The fellowship requires admission to the PhD program at the Faculty of Mathematics and Natural Sciences. The application to the PhD program must be submitted no later
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include: fluid mechanics, biomechanics, statistics and data science, computational mathematics, combinatorics, partial differential equations, stochastics and risk, algebra, geometry, topology, operator
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computational and biological sciences to address complex life science challenges. It fosters collaborations and develops advanced computational tools through a hub for multi-omics and systems biology. Project