585 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "The Institute for Data" positions in Norway
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and several centres at Faculty of Science and Technology. Read more about the faculty and departments. Where to apply Website https://www.jobbnorge.no/en/available-jobs/job/298034/phd-research-fellow
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period of three years. The position is located at the University of Agder’s Kristiansand campus. The proposed starting date is the 1st of September 2026. About the Faculty: https://www.uia.no/en/about-uia
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academic updating. At the core of the position lies the responsibility to teach main and elective courses within both the Bachelor (BFA) and the Master of Fine Arts (MFA), as well as individual supervision
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world and solutions that can change everyday life. Department of Structural Engineering We teach mechanical engineering, engineering and ICT, and civil and environmental engineering. The Department
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scheduling and maintenance, and the application of control and safety procedures and protocols. The successful candidate will also be required to teach fundamental fluid mechanics courses that are held in
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Care without Harm and the Norwegian Bioart Arena. The Postdoc will also contribute to other project-related tasks and activities. For more information and how to apply: https://www.jobbnorge.no/en
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bioinformatics. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/292274/phd-fellowship-in-nuclear-organization-in-breast-cancer Where to apply Website https://www.jobbnorge.no
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Value conflicts and tensions in the life sciences and its different epistemic cultures and evaluative principles and practices. For more information and how to apply: https://www.jobbnorge.no/en/available
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machine learning. Colourbox via Unsplash Colourbox What skills are important in this role? The Faculty of Mathematics and Natural Sciences has a strategic ambition to be among Europe’s leading communities
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architecture. The research focus of this PhD position is the design of performant and energy-efficient Edge Artificial Intelligence (AI) accelerators. Such accelerators may be either tightly integrated with