118 evolution "https:" "https:" "https:" "https:" Fellowship positions at University of Oslo
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PhD Research fellowship in in Theoretical and Computational Active Matter Physics for Early Embryo Development is available at the Department of Physics, Faculty of Mathematics and Natural Sciences
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of Biosciences at Blindern, Oslo. Job description The PhD will be hired on the project "HotSpot: Stress-induced mutations in evolution" funded by the NFR and led by William Reinar. The HotSpot project investigates
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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
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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 Signal Processing and
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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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: 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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Computers and Electronics - NTNU. https://www.ntnu.edu/nice Jarli & Jordan/ UiO via Unsplash Jarli & Jordan/ UiO What skills are important in this role? The Faculty of Mathematics and Natural Sciences has a
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protection. For more information about the Digital Security Research Group, see https://www.mn.uio.no/ifi/english/research/groups/sec/ Jarli & Jordan/ UiO via Unsplash Jarli & Jordan/ UiO What skills
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and where rehabilitation lives up to its ideals, and to creatively, critically and comparatively interrogate its development and prospects, its coherences and contradictions, its rhetoric and its
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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