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to be in the upper segment of their class with respect to academic credentials. Qualification requirements: Master’s degree or equivalent in Artificial Intelligence Computer Science Foreign completed
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on theory, methods and applications. The areas represented include: fluid mechanics, biomechanics, statistics and data science, computational mathematics, combinatorics, partial differential equations
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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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development. • An inspiring academic setting at the Natural History Museum, where science, history, and public engagement intersect. • Access to state-of-the-art lab and computing facilities. • A
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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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of Mathematics and Natural Sciences. The application to the PhD program must be submitted no later than two months after taking up the position. For more information see: http://www.uio.no/english/research/phd
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, statistical analysis, and bioinformatics workflows. Experience working in high-performance computing environments is an advantage. • Field or laboratory experience in plant science. • Interest 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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bioinformatics innovation by integrating computational and biological sciences to address complex life science challenges. It fosters collaborations and develops advanced computational tools through a hub for