71 proof-checking-postdoc-computer-science-logic Fellowship positions at University of Oslo
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28 Sep 2025 Job Information Organisation/Company University of Oslo Research Field Psychological sciences Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions Country Norway
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mathematics, mechanics and statistics. The research is on theory, methods and applications. The areas represented include: fluid mechanics, biomechanics, statistics and data science, computational mathematics
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for imaging Apply for this job See advertisement About the position Position as PhD Research Fellow in machine learning available at Department for Informatics with the research group Digital Signal Processing
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Computer Science and related topics. The Department has more than 1800 students on bachelor level, 600 master students, and over 240 PhDs and postdocs. The overall staff of the Department is close to 370 employees
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mathematics, mechanics and statistics. The research is on theory, methods and applications. The areas represented include: fluid mechanics, biomechanics, statistics and data science, computational mathematics
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, Molecular Biology or related fields at the time of admittance to the programme Documented experience in at least one of the following areas: microbial growth of non-model bacterial species (ideally in
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are important in this role? Mandatory requirements: The candidate must have A Master’s degree or equivalent in Microbiology, Molecular Biology or related fields at the time of admittance to the programme
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robotics, computer science, mechanical engi-neering, electrical engineering or related fields. Foreign completed degree (M.Sc.-level) corresponding to a minimum of four years in the Norwegian educational
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have A Master’s degree or equivalent in Microbiology, Biotechnology, Molecular Biology or related fields at the time of admittance to the programme Documented experience in at least one of the following
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in Microbiology, Molecular Biology or related fields at the time of admittance to the programme Documented experience in at least one of the following areas: molecular cloning and mutagenesis in non