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physical/digital event, see details at https://uit.no/arcticmsca/programstructure ). At this event, the candidates will present their past research achievements, discuss future plans with their potential
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strategic strategic research area on civil security by focusing on the vulnerability assessment of urban environments, sustainability, resilience, and knowledge for a better world (https://www.ntnu.edu/civil
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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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for changes to your work duties after employment. Required selection criteria You must have a relevant Master's degree in Electrical Engineering, Computer Science, Applied Mathematics, or equivalent. Your
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the understanding of high-dimensional neural activity patterns. The successful candidate will work with open available datasets obtained in rodents and unique datasets of neural activity. Your primary focus will be
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statistics” at OCBE. OCBE has expanded considerably during the last decade, becoming one of Europe's most active internationally recognized biostatistics groups with currently over 70 researchers. Main tasks
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. The project will collaborate closely with, and utilize existing linked data from, Regforsk at NTNU (https://www.ntnu.no/ism/forskning/regforsk#/view/publications). Deakin University in Melbourne, Australia is
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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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stimulating research environment. The project will be supervised by Prof. Rafal Ciosk and co-supervised by Prof. Marianne Fyhn: https://www.mn.uio.no/ibv/personer/vit/rafalc/ https://www.mn.uio.no/ibv/english
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circular economy. The primary objective of SFI FAST is to establish the scientific and technological knowledge base required to enable the large-scale use of post-consumer scrap (PCS) aluminium in high-value