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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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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 automatically be
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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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proposal how they will contribute to the development of sociology at the department. The position requires participation in the Faculty of Social Sciences' organised research education programme (PhD
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oppdatert 02.08.2025 Hva er en cookie? En cookie er en liten datafil som lagres på datamaskinen, nettbrettet eller mobiltelefonen din. En cookie er ikke et program som kan inneholde skadelige programmer eller
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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
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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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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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(SCML) group at the Department of Informatics. The candidate will be part of and contribute to the research activities in the Climate Health project at the HISP Centre. Starting date as soon as possible