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data with good utility. This project involves development of deep learning based synthetic data generators that obtain both good utility and protection of privacy, through tailored model approximation
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, development of educational material, organization of environmental activities, support for other researchers, and administrative tasks within ContraMent and the UiOLifeScience initiative at UIO. Ratio
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structures, the development of effective architecture for machine learning classification of the structures, and reinforcement learning methods for optimizing the structures for particular applications
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: https://www.mn.uio.no/math/english/research/groups/several-complex-variables/index.html https://www.mn.uio.no/math/english/research/groups/operator-algebras/index.html The Faculty of Mathematics and
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highly specialised software development group comprises about 20 full-time employees. More information is available at http://www.icgi.no and http://www.domore.no. The position is based in the Digital
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cooperation with the Institute of Marine Research. The core of the position will be on development of new deep learning methods for segmentation/classification of data with limited and weak labels. Your may
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registries, advanced analytical methods, and clinical trial data to inform regulatory decisions, clinical practice, and public health. Read more about UIO:RWE here: https://www.uio.no/english/research
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PhD Research Fellow in Theoretical and Computational Active Matter Physics for Glioblastoma Invasion
inform the development of innovative, mechanics-based intervention strategies. By focusing on the biomechanics of cancer cell spreading, GLIOFORCE seeks to open new avenues for the treatment of aggressive
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Development is available at the Department of Physics, Faculty of Mathematics and Natural Sciences, within the interdisciplinary research team GENESIS : Gene–Epigenome–Active Matter Nexus in Early Embryogenesis
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. Further information about the research groups can be found at: https://www.mn.uio.no/math/english/research/groups/algebra/index.html https://www.mn.uio.no/math/english/research/groups/geometry-topology