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research training to the level of a doctoral degree. Admission to the PhD programme is a prerequisite for employment, and the programme period starts on commencement of the position. The workplace is at UiT
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recognize multimodal human behavior in real world settings (e.g., Affective Computing, AI for Healthcare: pain measurement, monitoring mental health disorders). The successful candidate will have primary
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digital health Computing systems and networks Cybersecurity Human-computer interaction Machine learning and artificial intelligence Software engineering Position details Positions are intended
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properties. This PhD project aims to identify and validate small-molecule inhibitors that target BAF interactions to block GBM invasiveness. The PhD candidate will: • use computational structure models
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requirements for applicants from outside of EU/ EEA countries and exemptions from the requirements: https://www.mn.uio.no/english/research/phd/regulations/regulations.html#toc8 Grade requirements: The norm is as
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the period of the project, not exceeding the maximum period set by FCT for such grants. RENEWAL Renewable is subject to performance if the candidate is enrolled in a PhD program - art. 6º, n.4 c) https
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integration of welfare technologies in the care systems for elderly people. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/292367/phd-research-fellow-in-human-robot
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together with the supervisor. The topology group at UiO currently consists of Kim Frøyshov, Achim Krause and John Rognes, as well as two PhD students, and there is also interaction with the rest
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exemptions from the requirements: https://www.mn.uio.no/english/research/phd/regulations/regulations.html#toc8 Grade requirements: The norm is as follows: The average grade point for courses included in
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for applicants from outside of EU/ EEA countries and exemptions from the requirements: https://www.mn.uio.no/english/research/phd/regulations/regulations.html#toc8 Grade requirements: The norm is as follows