13 machine-"https:" "https:" "https:" "https:" "https:" "https:" PhD positions at University of Oslo
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centers. (See for instance http://www.mn.uio.no/geo/english/about/organisation/geohyd and https://www.mn.uio.no/geo/english/research/groups/remotesensing ). We are a growing, lively, friendly and
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«Detaljer» for å lese mer om dette og tilpasse dine valg. Om cookies Bare nødvendige cookies UiO/Anders Lien 9th September 2026 Languages English English English PhD Research Fellow in Machine Learning for
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(EpiGen; https://epigenahuscom.wordpress.com/) at the University of Oslo, Ahus Campus, Lørenskog. EpiGen is a joint research unit established by the University of Oslo (UiO) and Akershus University
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parties? More information about the project can be found here: https://www.sv.uio.no/isv/english/research/projects/wow/index.html The PhD Fellow is expected to develop a research project within the
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«Detaljer» for å lese mer om dette og tilpasse dine valg. Om cookies Bare nødvendige cookies UiO/Anders Lien 16th October 2026 Languages English English English PhD Research Fellow in Machine Learning and
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Informatics, in the Scientific Computing and Machine Learning (SCML) research group. Starting date as soon as possible/by agreement. The fellowship period is three (3) years. Depending on the
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«Detaljer» for å lese mer om dette og tilpasse dine valg. Om cookies Bare nødvendige cookies UiO/Anders Lien 4th October 2026 Languages English English English 3-years PhD position in probabilistic machine
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datasets. Machine-learning approaches will be used to identify spectral features and molecular signatures associated with infection, distinguish different biological states, and correlate spectroscopic
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fellowships in machine learning await. Collaborate, innovate, and thrive! PhD Fellowships in Knowledge-Driven Machine Learning in Norway (8 positions) Apply for this job See advertisement About the positions
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language models, machine learning, and/or programming in R or equivalent programs is an advantage but not a requirement. The evaluation of applicants primarily hinges on their documented academic