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theories, methods, models, and algorithms that integrate general and domain-specific knowledge with data. By combining the mathematical and computational cultures, and the methodologies of statistics, logic
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from educational philosophy, cultural psychology and humanities studies in special education and health. Through analytical-hermeneutic methods, the project will explore frameworks of understanding and
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for more than one PhD Research Fellowship period at the University of Oslo. Job description The person hired in the position will work on theoretical control and optimization methods for a grid island powered by
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, school-level aggregated data, and genetic data. The successful candidate is expected to use state-of-the-art research methods for drawing causal inferences from non-experimental data. The successful
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or more of the following empirical research methods will be considered an advantage: applied microeconometrics and causal inference; machine learning and data science. Experience with one or more of the
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communication skills in English (see below) Additional desired qualifications: Experience with the theoretical description of transport processes Skills in advanced computational methods (e.g., C++) Jarli og
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available for a period of 3 years. There is a 10 % component of the position which is devoted to teaching and administrative duties. UiO/ Anders Lien via Unsplash UiO/ Anders Lien Qualification requirements A
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dissecting the functionality of different EV subsets. Methods include, but are not limited to, in vitro culture of primary human cells and cell lines, organ-on-chip models, molecular biology, diverse
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The idea is to combine established iterative ensemble Kalman methods with novel emerging machine-learning-enabled model calibration techniques recently adopted in CLM-FATES at UiO. The aim is: to constrain
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a single method for anisotropic flow modelling for both ice and olivine, by mapping CPO parameters directly to anisotropic viscosity parameters. This technique should reduce the computation complexity