583 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "U.S" positions in Norway
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learning. The successful candidate will be expected to engage in all of these activities. In collaboration with the science education research groups at the faculty, the candidate will gather and analyse
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-2033). The center's overall goal is to develop new, empirical knowledge about the role professional language plays in society and how professional language functions, is learned, and used in different
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: https://uit.no/staffmobility Application Please note that the application will only be assessed based on the information submitted by the application deadline via Jobbnorge. It is therefore important that
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-edge research in these areas. You will learn state-of-the-art techniques in formal methods and knowledge representation and apply them to high-impact use cases related to industry. Potential candidates
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implement new nonlinear iterative solvers, with the goal of exploiting models of various complexity, ranging from high-performance computing, via reduced-order models to data-driven (machine-learned
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, and public health. Read more about UIO:RWE here: https://www.uio.no/english/research/strategic-research-areas/life-science/research/convergence-environments/uiorwe About the project This postdoctoral
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for applicants from outside of EU/ EEA countries and exemptions from the requirements: https://www.mn.uio.no/english/research/phd/regulations/regulations.html#toc8 Grade requirements: The norm is as follows
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(ph.d.) in artistic development work at the Norwegian University of Science and Technology (NTNU) for general criteria for the position. Preferred selection criteria Experience with machine learning
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to inflammatory joint diseases. For complete job description with qualification requirements and basis of evaluation on the academic position please see: https://www.med.uio.no/klinmed/om/ledige-stillinger
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advertisement Job description A three-year PhD fellowship in Neuroscience is available in the group of Dr. Matthijs Dorst (https://dorst-lab.org/ ), with co-supervision by Associate Professor Koen Vervaeke (https