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researcher position for the successful candidate. For this, acquiring external project funding is essential, and we encourage and support the proposal writing process. About the project The Department
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the selection process. Essential qualifications Completed (or near-completed) Ph.D. in Economics, Statistics or a related quantitative discipline by the start of the position, preferably with a focus on health
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in Trondheim. At NTNU, 9,000 employees and 43,000 students work to create knowledge for a better world. You can find more information about working at NTNU and the application process here . ... (Video
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the position, preferably with a focus on health-related issues.- Demonstrated training or experience with using econometric methods (e.g., differences-in-difference, regression discontinuity, instrumental
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engineering and science, as well as PhD education in computer technology. The Mohns Center for Innovation and Regional Development researches innovation and offers master's education in innovation and
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affect of sleep on brain health and cognitive processes. Magnetic Resonance Imaging (MRI) is used in the project in combination with cognitive, neuropsychological and somatic assessments. The position will
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to societal challenges Value conflicts and tensions in the life sciences and its different epistemic cultures and evaluative principles and practices. Applicants should read and relate to the more detailed
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, bioinformatics, or computational biology. Proficiency in programming and scripting languages (e.g., Python, R, Matlab). Experience with data processing, large-scale genomic and neuroimaging data, and statistical
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employees and 43,000 students work to create knowledge for a better world. You can find more information about working at NTNU and the application process here . ... (Video unable to load from YouTube. Accept
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our understanding of mental disorders by applying novel analytical tools to differences in genotypes and environment to predict disease trajectories. The project is part of a Nordic initiative in large