710 engineering-computation-"https:" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" positions in Norway
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program at the Norwegian University of Environmental and Biosciences (NMBU). Principal supervisor will be at NMBU, Department of Plant Science and partial supervisor at NIBIO. The scholarship holder will be
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Positions Application Deadline 28 Feb 2026 - 23:59 (Europe/Oslo) Country Norway Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a
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UiO/Anders Lien 10th April 2026 Languages English English English Postdoctoral position in Machine Learning and Computational Biology Apply for this job See advertisement About the position
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Application Deadline 28 Jan 2026 - 23:00 (Europe/Oslo) Type of Contract Temporary Job Status Full-time Hours Per Week 37.5 Is the job funded through the EU Research Framework Programme? Not funded by a EU
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21 Feb 2026 Job Information Organisation/Company NORWEGIAN UNIVERSITY OF SCIENCE & TECHNOLOGY - NTNU Research Field Cultural studies History Geosciences Researcher Profile Recognised Researcher (R2
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prerequisite that you gain admission to the PhD programme in Engineering (https://www.ntnu.edu/iv/doctoral-programme ) within three months of your employment contract start date, and that you participate in
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position, you must be qualified for admission to the PhD programme at the Faculty of Engineering Science and Technology and participate in organized doctoral studies within the employment period. Admission
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disciplines. Experience or interest in condition monitoring is considered a significant advantage. You must have a Master's degree in engineering, informatics, or equivalent. Your course of study must
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to the Ph.D. degree. Read about admission to the Faculty's PhD program here: https://www.sv.uio.no/english/research/phd/application/phd-fellowship/index.html Advanced statistical and quantitative skills
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. Place of work is Department of informatics at Blindern, Oslo. Job description Do you want to develop new technology for interpretation of images in the field of geoscience? Improve deep learning methods