362 machine-learning-"https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" research jobs in Norway
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(NELO), revealing the branchial cavity as an important region of the fish immune system. (https://www.science.org/doi/10.1126/sciadv.adj0101 ) (https://www.frontiersin.org/journals/immunology/articles
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with Emerging Interactive Technologies Apply for this job See advertisement About the position Position as PhD Research Fellow in Interaction Design / Human-Computer Interaction available
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Computers and Electronics - NTNU. https://www.ntnu.edu/nice Jarli & Jordan/ UiO via Unsplash Jarli & Jordan/ UiO What skills are important in this role? The Faculty of Mathematics and Natural Sciences has a
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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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https://www.ntnu.edu/imf/research/ for an overview. Your immediate leader will be the Head of Department. Duties of the position Carry out research of good quality. Academic publications. Participate in
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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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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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, 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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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