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environments. Experience with rock physics experiments (e.g., triaxial rig, shock apparatus, acoustics). All candidates and projects will have to undergo a check versus national export, sanctions and security
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nuclear structure models, and to understand how elements heavier than iron are formed in explosive stellar environments. The current project is closely related to the research activity “Nuclear Properties
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degree in Environmental / Hydraulic Engineering, Computer Science, Applied Mathematic or equivalent. Your course of study must correspond to a five-year Norwegian course, where 120 credits have been
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. Required: Master’s degree (or equivalent) in bioinformatics, computational biology, data science, or related fieldsForeign completed degrees (M.Sc.-level) must correspond to a minimum of four years in
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-compliance in ecological momentary assessment, or exploring the use of machine learning techniques to aid the estimation of item response theory (IRT) models in small samples. The ideal candidate has prior
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psychiatry on longitudinal multimodal data, to fit and validate prediction models. Perform quality control and imputation of genotype data from relevant datasets, including international and Norwegian samples
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technological progress in our increasingly digital, data- and algorithm-driven world. Integreat develops theories, methods, models, and algorithms that integrate general and domainspecific knowledge with data
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and develop frameworks and knowledge on planning and coordination of resources within and across projects. apply quantitative methodologies, such as simulation and analytical modelling, to develop
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Develop and apply machine learning techniques and statistical analyses, including digital twin methodology, to fit and validate prediction model. Perform quality control and imputation of genotype and
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leader will be the Head of Department. About the project Modern control systems rely on being at least partially predictive while digital twins also must maintain a state model of the targeted cyber