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29th June 2026 Languages English English English The Department of Mechanical and Industrial Engineering has a vacancy for a PhD Candidate in Machine Learning Approaches to Conservation Condition
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Is the Job related to staff position within a Research Infrastructure? No Offer Description The Hybrid Technology Hub CoE (https://www.med.uio.no/hth/english/ ) is inviting applications for a three
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for probabilistic unsupervised learning for structured biological data. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/307053/3-years-phd-position-in-probabilistic-machine
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of a PhD degree. The research fellow will be enrolled in the PhD program at the Department of Archaeology, Conservation and History at the University of Oslo and is expected to complete the project
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program at the Department of Archaeology, Conservation and History at the University of Oslo and is expected to complete the project within the three-year period. The applicants must fulfil the requirements
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master’s degree. Please see https://hkdir.no/en/ for more information about HK-dir’s general recognition. The review process by HK-dir may take some time. Therefore, please submit your application to HK-dir
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of higher education. Please consult the GSU list for information relevant to the nationality of your degrees: https://hkdir.no/en/foreign-education/lists-and-databases/higher-education-entrance-qualification
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site-specific conditions such as structural anisotropy and in-situ stress variations leading to either overly conservative designs or unplanned dilution. To overcome these challenges, this project will
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Borlaug Faggruppeleder +4799305003 [email protected] Manjana Milkoreit Førsteamanuensis +47922 81 887 [email protected] Where to apply Website https://academicpositions.com/ad/oslo
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SINTEF Ocean; FME Martrans https://martrans.no/ and the Norwegian Maritime AI Centre https://www.ntnu.edu/mai The research is foreseen to focus on fluid-dynamic properties of the different sail types