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. Researchers at Integreat develop theories, methods, models, and algorithms that integrate general and domain-specific knowledge with data. By combining the mathematical and computational cultures, and the
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consisting of both control theory (or related fields) and economics (or related fields). Applicants must have experience in one or more of the topics: Model-predictive control Numerical optimization
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candidates and projects will have to undergo a check versus national export, sanctions and security regulations. Candidates may be excluded based on these checks. Primary checkpoints are the Export Control
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. To obtain experimental information under such conditions is crucial in order to constrain and improve theoretical nuclear structure models, and to understand how elements heavier than iron are formed in
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) in bioinformatics, computational biology, data science, or related fieldsForeign completed degrees (M.Sc.-level) must correspond to a minimum of four years in the Norwegian educational system
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(IRT) models in small samples. The ideal candidate has prior knowledge of IRT models, a basic understanding of common estimation methods, and strong programming skills in R, Python, or another relevant
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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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. 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