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for probabilistic unsupervised learning for structured biological data. The successful candidate will: Develop probabilistic factor models and scalable inference algorithms for structured biological (multi-view) high
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shall be among Europe's leading universities, internationally recognized for high quality in research and education. As a societal institution, we shall contribute to sustainable and democratic
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duties after employment. Required selection criteria A master’s degree or equivalent education in synthetic biology, molecular biology, biotechnology, microbiology, biochemistry, biochemical engineering or
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and mathematical analysis of solver technology for multiphase flow simulation in deformable geological porous media. Key challenges and opportunities related to the center applications include: a
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if you can document that you are particularly suitable for a PhD education. You must meet the requirements for admission to the faculty's Doctoral Programme in Engineering Excellent oral and written
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education. You must meet the requirements for admission to the faculty's doctoral program (see: https://www.ntnu.edu/ie/research/phd ). You must meet the requirements for admission to the IE Faculty. PLEASE
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document that you are particularly suitable for a PhD education. You must meet the requirements for admission to the faculty's Doctoral Programme (https://www.ntnu.no/studier/phma ). Applicants must have
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for Higher Education and Skills (HK-dir) , please attach this as well. Joint work will be considered. If it is difficult to identify your contribution to joint work, you must attach a brief description of your
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a statement from Norwegian Directorate for Higher Education and Skills (HK-dir) , please attach this as well. Joint work will be considered. If it is difficult to identify your contribution to joint
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a statement from Norwegian Directorate for Higher Education and Skills (HK-dir) , please attach this as well. Joint work will be considered. If it is difficult to identify your contribution to joint