223 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" Fellowship research jobs at University of Oslo
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provides opportunities to collaborate with both national and international collaborators, as well as exploring sustainability aspects of the technology. For more information and how to apply: https
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to apply: https://www.jobbnorge.no/en/available-jobs/job/293760/postdoctoral-research-fellows-in-viscous-flow-coupled-with-elastic-deformation Where to apply Website https://www.jobbnorge.no/en/available
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: https://www.jobbnorge.no/en/available-jobs/job/292520/postdoctoral-fellow-in-molecular-cell-biology Where to apply Website https://www.jobbnorge.no/en/available-jobs/job/292520/postdoctoral-fellow-in-mo
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methanol and their subsequent coupling into larger hydrocarbon molecules. For more information and how to apply: Where to apply Website https://www.jobbnorge.no/en/available-jobs/job/294613/phd-research
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information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/292751/postdoctoral-fellow Where to apply Website https://www.jobbnorge.no/en/available-jobs/job/292751/postdoctoral-fellow
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the project lead if you have further questions about the project. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/293031/postdoctoral-research-fellow-in-studying-the-role
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credentials. Required qualifications: Master’s degree or equivalent in mathematics, physics, control, cybernetics, computer engineering, automation, or related fields. Foreign completed degree (M.Sc.-level
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language processing or computational linguistics; alternatively, in computer science or machine learning with a specialization in natural language processing Documented knowledge of core machine learning methods and
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research in various areas of mobile network systems, multimedia and AR/VR/XR systems, robotics and machine learning, focusing on fundamental aspects as well as on applications in multidisciplinary contexts
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to machine learning algorithms in order to get uncertainty estimates for parameters governing the distribution of the observed data. The predictive Bayes scheme for uncertainty quantification contains a wide