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deducted. Application Inquiries about this position may be directed to: Assoc. Prof. Marius O. Jonassen, email: mariusj@unis.no Assoc. Prof. Gunhild B. Sætren, email: gunhilds@unis.no Prof. Eirik Albrechtsen
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collaboration in optimising data analysis algorithms for the raw detector data, including improving position reconstruction and pulse-shape discrimination algorithms which can be implemented on in the front-end
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based at the NTNU University Museum in Trondheim with Prof. James D. M. Speed and will interact with partners across the network. Duties of the position Coordinate the Nordic Borealization Network, using
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/Machine Learning (AI-ML) approaches to meeting this challenge. Possible topics include, but are not limited to: storylines for plausible narratives of regional climate change, novel algorithms for rare
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for plausible narratives of regional climate change, novel algorithms for rare event sampling or ensemble boosting, and the development and use of hybrid climate models combining physics-based and ML components
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; mathematical modelling of cancer; probabilistic modelling and Bayesian inference, stochastic algorithms and simulation-based inference; causal inference and time-to-event analysis; and statistical machine
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position can be obtained by contacting: Deputy Dean for Research, Prof. Karsten Specht, Karsten.specht@uib.no , tel +47 55 58 62 79 For HR related questions contact: Adviser HR Kari Lid Skodje, kari.skodje
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334328): https://prosjektbanken.forskningsradet.no/project/FORISS/334328? Kilde=FORISS&distribution=Ar&chart=bar&calcType=funding&Sprak=no&sortBy=score&sortOrder=desc&resultCount=30&offset=0&Fritekst