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, metabolomics, and bioinformatics analyses to investigate molecular interactions between diatoms and associated microorganisms. The position is part of a broader research program focused on programmable marine
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datafil som lagres på datamaskinen, nettbrettet eller mobiltelefonen din. En cookie er ikke et program som kan inneholde skadelige programmer eller virus. Hvordan nettsiden bruker cookies Cookies er
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(or equivalent) for both the programme as a whole and the Master's thesis. Strong programming skills (Python preferred) and foundations in machine learning. Interest in adaptive interactive systems, biofeedback
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of Informatics as a member of the MishMash Centre for AI and Creativity. Starting date no later than February 2, 2027. The fellowship period is three years. Depending on the candidate and the teaching needs
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on online, real‑time detection, which imposes strict constraints on the computational efficiency and latency of the detector. The candidate will develop generic, broadly applicable methods that can be
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project “Actively learning experimental de-signs in terrestrial climate science (ACTIVATE)”: https://www.mn.uio.no/geo/english/research/projects/activate/index.html The PhD fellow will be part of a growing
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partners are a part of this project. The ideal candidate would combine strong computational skills with domain knowledge in either acoustics or fluid mechanics, plus demonstrated ability to apply AI/ML
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