25 assistant-professor-computer-science-data-"LIST" Fellowship positions at University of Oslo
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with respect to academic credentials. Qualification requirements: Master’s degree or equivalent in Artificial Intelligence Computer Science Foreign completed degree (M.Sc.-level) corresponding to a
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. Qualification requirements: Master’s degree or equivalent in physics, process technology, or computational geosciences Foreign completed degree (M.Sc.-level) corresponding to a minimum of four years in
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General information The best qualified candidates will invited for interviews. Applicant lists can be published in accordance with Norwegian Freedom of Information Act § 25 . When you apply for a position
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advanced bioinformatic analyses of genomic data. The candidate will join a collaborative and interdisciplinary team with expertise in Arctic biology, genomics, and evolutionary theory, and will have the
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Unsplash UiO/ Anders Lien via Unsplash UiO/ Anders Lien General information The best qualified candidates will invited for interviews. Applicant lists can be published in accordance with Norwegian Freedom
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combining the mathematical and computational cultures, and the methodologies of statistics, logic and machine learning in unique ways, Integreat's machine learning will solve fundamental problems in science
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Data Science. Questions about the position Aksel Ørbeck Seniorrådgiver HR +4799625749 personalgruppen@sv.uio.no Robert Huseby Professor +4722855189 roberthu@stv.uio.no Apply for this job Deadline 1st
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Postdoctoral fellow financed with funds from The Research Council of Norway (NFR). Applicant lists can be published in accordance with Norwegian Freedom of Information Act § 25. When you apply for a position
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of Information Act § 25. When you apply for a position with us, your name will appear on the public applicant list. It is possible to request to be excluded from this list. You must justify why you want
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PhD Research Fellow in Experimental Fluid Mechanics: Tunable hairy surfaces for droplet flow control
: fluid mechanics, biomechanics, statistics and data science, computational mathematics, combinatorics, partial differential equations, stochastics and risk, algebra, geometry, topology, operator algebras