357 machine-learning "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" research jobs in Norway
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protection. For more information about the Digital Security Research Group, see https://www.mn.uio.no/ifi/english/research/groups/sec/ Jarli & Jordan/ UiO via Unsplash Jarli & Jordan/ UiO What skills
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to the international initiative “Antarctic InSync.” For more information, see: https://ic3.uit.no/ . The position is based in the Marine Ecology section of the Research Department and will involve collaboration within a
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stimulating research environment. The project will be supervised by Prof. Rafal Ciosk and co-supervised by Prof. Marianne Fyhn: https://www.mn.uio.no/ibv/personer/vit/rafalc/ https://www.mn.uio.no/ibv/english
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consist of 15 PhDs, that together will work and learn as an international cohort and collaborate across projects to bring together insights anchored in different sectors and countries. The candidates will
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, Marineholmen, Møllendalsveien and Årstad. There are seven departments and several centres at Faculty of Science and Technology. Read more about the faculty and departments. Where to apply Website https
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employment process can be found here . Life as a PhD candidate at UiB Marion Claireaux tells about life and work as a PhD candidate at UiB. Where to apply Website https://www.jobbnorge.no/en/available-jobs/job
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centres at Faculty of Science and Technology. Read more about the faculty and departments. ess, click here . Where to apply Website https://www.jobbnorge.no/en/available-jobs/job/296272/phd-research
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requirement: Good oral and written communication skills in English English requirements for applicants from outside of EU/ EEA countries and exemptions from the requirements: https://www.mn.uio.no/english
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interest in social science applications, and with strong competence in statistics and machine learning. The successful candidate will develop predictive models using machine learning and work alongside other
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implement new nonlinear iterative solvers, with the goal of exploiting models of various complexity, ranging from high-performance computing, via reduced-order models to data-driven (machine-learned