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- University of Oslo
- NHH Norwegian School of Economics
- UiT The Arctic University of Norway
- Norwegian University of Life Sciences (NMBU)
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- NTNU - Norwegian University of Science and Technology
- NTNU Norwegian University of Science and Technology
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of dynamic sequential inference and probabilistic recommender systems. Emphasis will be placed on rank-based models and their successful use in probabilistic recommender systems, but many other research topics
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connection with the research project GROOVE: Mapping, Modeling, and Perceiving the Combinatorics of Groove-based Rhythms, funded by the Research Council of Norway. The project is affiliated with RITMO Centre
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for the candidate. The project combines experimental and computational approaches to dissect transcriptional dependencies and regulatory networks in clinically relevant model systems. We employ advanced genomic
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dedicated to research on the chronic liver disease primary sclerosing cholangitis (PSC). Several features make PSC an intriguing model disease; more than 80% of the patients have inflammatory bowel disease
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experimental and computational approaches to dissect transcriptional dependencies and regulatory networks in clinically relevant model systems. We employ advanced genomic technologies, including bulk and single
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rationale multi-cancer approach and modern genome-wide methods for regulatory genomic features and chromatin architecture. We utilize a wide range of cell-based models, organoid systems together with cutting
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months), working on the European Research Council (ERC) funded project HydroConnect. These two positions are based in Bergen, Norway at CMI, and will be included in the Climate and Natural Resources
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, statistical modelling, programming in R, Matlab, or Python. Excellent skills in written and oral English. Personal suitability and motivation for the position. The doctoral dissertation must be submitted
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recording and analysis, dataset preparation, time-series analysis, statistical modelling, programming in R, Matlab, or Python. Excellent skills in written and oral English. Personal suitability and motivation
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that will develop and analyse computational models for electricity markets, the power system and hydro power scheduling. The position will be affiliated with the ENE Centre at the Department of Business