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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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the application. Details about the groups may be found using the following links: https://www.mn.uio.no/math/english/research/groups/several-complex-variables/index.html https://www.mn.uio.no/math/english/research
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profile for their ideal candidates are described as follows. PREMAL is a project focused on privacy-preserving machine learning using FHE. The project will investigate trade-offs between accuracy, time, and
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samples. Apply machine learning and deep learning techniques to automate segmentation and quantitative analysis of tomographic refractive-index data from cells and tissue samples. Apply the developed
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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
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of the Algebra, Geometry and Topology section. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/294740/phd-research-fellow-in-algebraic-topology Where to apply Website https
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information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/294739/phd-research-fellow-in-algebra-geometry-and-topology Where to apply Website https://www.jobbnorge.no/en/available-jobs/job
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. The core research objective of this PhD is to design and evaluate “latency hiding” methods for immersive networked interactions. This involves (i) developing predictive machine learning models that forecast
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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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(NICE) Norwegian Centre for Intelligent Computers and Electronics - NTNU. https://www.ntnu.edu/nice For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/294530/phd