792 computational-physics "https:" "https:" "https:" "https:" "IFM" positions in Norway
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of Electrical Engineering and Computer Science; the Department of Mechanical, Structural and Materials Engineering; the Department of Mathematics and Physics; the Department of Chemistry, Bioscience and
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headquarters in Trondheim. At NTNU, 9,000 employees and 43,000 students work to create knowledge for a better world. You will find more information about working at NTNU and the application process here
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will be admitted to the Faculty of Humanities’ PhD programme . The programme includes a training component of 30 ECTS, corresponding to six months of the employment period. Qualifications and Personal
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spectrometry validation). Design, establish, and conduct metabolite supplementation experiments in embryo culture systems, and collect and process samples for sequencing and metabolite analyses. Analyze
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Computer Science; the Department of Mechanical, Structural and Materials Engineering; the Department of Mathematics and Physics; the Department of Chemistry, Bioscience and Environmental Engineering; the
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process here. ... (Video unable to load from YouTube. Accept cookie and refresh page to watch video, or click here to open video) About the position The Department of Mechanical and Industrial Engineering
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developed upon appointment. As a PhD fellow, you will be admitted to the Faculty of Humanities’ PhD programme . The programme includes a training component of 30 ECTS, corresponding to six months
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technician. The department conducts research and education in Arctic geology and physical geography. The department focuses on 1) the cryosphere and polar landscapes, 2) earth climate history from Holocene
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NTNU and the application process here. ... (Video unable to load from YouTube. Accept cookie and refresh page to watch video, or click here to open video) About the position The maritime industry faces
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topological defects and alignment patterns The project offers close interaction with experimental biology, theoretical physics, and computational modeling in a strongly interdisciplinary research environment