207 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Mines Paris PSL" Fellowship positions at University of Oslo
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recently funded centre of excellence (Integreat). Integreat collects scientists from statistics and computer science and offers a flourishing machine learning community, including many PhDs and PostDocs
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of the post. Candidates without a master’s degree have until 1st of July 2026 to complete the final exam. Strong programming and artificial intelligence/machine learning skills. The candidate’s research
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English 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
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laboratory analytical methods (e.g., chromatography, mass spectrometry). Familiarity with AI or machine learning applications relevant to environmental data analysis. Basic knowledge of GIS/mapping tools
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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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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 are important in this role
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, and public health. Read more about UIO:RWE here: https://www.uio.no/english/research/strategic-research-areas/life-science/research/convergence-environments/uiorwe About the project This postdoctoral
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to the Department of Biosciences, UiO, which is planned to re-locate to the new Life Science Building in 2026/2027 (https://www.uio.no/english/research/strategic-research-areas/life-science/about/building/ ) Jarli og
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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
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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