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other members of staff. The successful candidate should have an international profile with respect to the above criteria. The candidate for this position will be selected based on excellence and fit with
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motivation for applying, research interests, and how your background and skills make you a strong fit for the position. • CV (summarizing education, positions and academic work - scientific publications
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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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. The Master project should treat methodological aspects with mathematical tools. Experience in scientific programming. All candidates and projects will have to undergo a check versus national export, sanctions
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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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successful candidate should have an international profile with respect to the above criteria. The candidate for this position will be selected based on excellence and fit with the section’s research profile
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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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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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regarding your research interests’ potential fit with WAGE’s research agenda. The appointments are fulltime positions for the duration of three years. The main purpose of the fellowship is to qualify