133 assistant-professor-computer-science-data "https:" "https:" "https:" "https:" positions in Norway
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inhibitors with improved efficacy The project offers a highly interdisciplinary research environment spanning computational chemistry, cell biology, physics, and materials science. The work will leverage GPU
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on theory, methods and applications. The areas represented include: fluid mechanics, biomechanics, statistics and data science, computational mathematics, combinatorics, partial differential equations
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dynamics simulations, or computer-aided drug design. Proven record of programming language through publicly available Github/Gitlab or similar repositories. Experience in the cell biology lab Fluent oral and
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Human–Computer Interaction, Interaction Design, Informatics, Computer Science, Computational Creativity, or another field relevant to the position. Foreign completed degree (M.Sc.-level) corresponding
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PhD Research Fellow in Theoretical and Computational Active Matter Physics for Glioblastoma Invasion
the upper segment of their class with respect to academic credentials. Required qualifications: Master’s degree or equivalent in physics, applied mathematics, computational science, or a closely related field
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. The areas represented include: fluid mechanics, biomechanics, statistics and data science, computational mathematics, combinatorics, partial differential equations, stochastics and risk, algebra, geometry
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for this job See advertisement About the position Position as PhD Research Fellow in Mobile Cybersecurity available at Department of Informatics. The fellowship period is three years. Depending on the candidate
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Fotograf Morten Hjertø 26th April 2026 Languages English English English The Department of Ocean Operations and Civil Engineering has a vacancy for a PhD Candidate in Information Structures
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period at the University of Oslo. Job description GENESIS is a newly established Life Science Convergence Environment that brings together active matter physics, cell biology, and computational biology to
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opportunity to develop a computational theoretical framework for predicting CIB fluctuations as a function of cosmological parameters. The candidate will work with time-ordered data from each of the above