200 engineering-computation-"https:" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" PhD scholarships in Norway
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. The candidate must be enrolled in the PhD program no later than three months after employment. More information on PhD education: https://www.hvl.no/forsking/forskarutdanning How to apply: Submit your application
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. The candidate must be enrolled in the PhD program no later than three months after employment. More information on PhD education: https://www.hvl.no/forsking/forskarutdanning How to apply: Submit your application
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1 Mar 2026 Job Information Organisation/Company NTNU Norwegian University of Science and Technology Department Department of Electronic Systems Research Field Computer science Researcher Profile
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This PhD programme is multidisciplinary and cross-disciplinary building on applied mathematics and physics, technology and engineering—and the interplay between these. The programme has an applied
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, differential equations, geometry/topology, numerical analysis, optimization, and statistics. Part of the research is also carried out in close cooperation with other fields of science and technology at NTNU, as
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. The position will also focus on developing 3D imaging technology for nerve and synapse detection in tissue samples from tumors. The candidate will study the presence of synapses between breast cancer cells and
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9 Mar 2026 Job Information Organisation/Company NTNU Norwegian University of Science and Technology Department Department of Electronic Systems Research Field Computer science Researcher Profile
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are particularly suitable for a PhD education. You must meet the requirements for admission to the doctoral program from the Faculty of Engineering (https://www.ntnu.edu/studies/phiv ) You must be
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programme at the institution. The documentation that is necessary to ensure that the admission requirements are met must be uploaded as an attachment. Main tasks To characterize the bioprotective potential
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cookie and refresh page to watch video, or click here to open video) About the position Distributed machine learning takes advantage of communication and distributed computing to utilise distributed data