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researcher in applied philosophy on the topic of biodiversity modeling and governance, under the interdisciplinary Convergence Environment BioM at the University of Oslo (UiO). Employment is scheduled
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computational modeling. The postdoctoral candidate will: Analyze quantitative molecular and imaging data produced by other members of GENESIS. Develop new machine learning models to identify gene regulatory
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. The project will combine experimental data obtained through advanced live imaging and spatially resolved molecular profiling with theoretical and computational modeling. The postdoctoral candidate will: Analyze
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, Modeling, and Perceiving the Combinatorics of Groove-based Rhythms, funded by the Research Council of Norway. The project is affiliated with RITMO Centre for Interdisciplinary Studies in Rhythm, Time and
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the North Atlantic throughout the year, using a combination of literature review, observational data, tracking and stable isotope data, as well as model and simulation results study the distribution
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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
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isolation protocols Expertise in EV quality control, characterisation and quantification Experience with RNA extraction protocols Comfortable working with RNA-seq pipelines, gene signature analysis, scripting
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contribute to a project 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
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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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, reliable, and efficient power systems by leveraging advanced control and optimization approaches. I focus on real-time and cyber-physical co-simulation techniques to design and validate intelligent energy