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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
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modeling of narrative, which includes developing new computational models of narrative and re-implementing historical models (also known as “storytelling systems”) so that they can be easily studied and used
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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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, wearable and nearable sensor data, continuous glucose monitoring data, self-reported data, and multi-omics analysis to develop predictive models for steroid hormone disorders, particularly adrenal
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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