357 machine-learning "https:" "https:" "https:" "University of St" Fellowship positions in Norway
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Website https://karriere.norceresearch.no/en/jobs/7235739-phd-research-fellow-in-data-a… Requirements Research FieldMathematics » Applied mathematicsEducation LevelMaster Degree or equivalent Skills
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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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-2033). The center's overall goal is to develop new, empirical knowledge about the role professional language plays in society and how professional language functions, is learned, and used in different
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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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: https://www.mn.uio.no/math/english/research/groups/several-complex-variables/index.html https://www.mn.uio.no/math/english/research/groups/operator-algebras/index.html The Faculty of Mathematics and
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learning. The successful candidate will be expected to engage in all of these activities. In collaboration with the science education research groups at the faculty, the candidate will gather and analyse
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shocks from the past and places them into a future scenario. What can we learn from the past to improve future climate projections and preparedness? It will drastically expand the available evidence by
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-edge research in these areas. You will learn state-of-the-art techniques in formal methods and knowledge representation and apply them to high-impact use cases related to industry. Potential candidates
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integrated circuits (PIC). An optical set-up will be used to characterize the chips and demonstrate the capabilities of the PICs. The PhD will collaborate with researchers in machine learning for analysis
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schemes and reduce economic harm. Consequently, organizations are now looking to artificial intelligence (AI) to enhance AML capabilities. AI-driven solutions can learn from vast datasets to spot hidden