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implementation and data handling; iv) contribute to the intercomparison with simulations and outputs of one model (CISM); v) collect, organize and quality check output data from the participating modelling groups
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collaboration in optimising data analysis algorithms for the raw detector data, including improving position reconstruction and pulse-shape discrimination algorithms which can be implemented on in the front-end
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scale healthcare data analysis for development of precision medicine approaches. The researcher hired for this postdoctoral fellow position will work with the Centre’s datasets, analytical methodology
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data, MRI data, and other types of data. Contribute to projects at LCBC with data analysis, development, and implementation of advanced machine learning models. Write and publish scientific articles
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development for a hard-working candidate. The Postdoctoral fellow will work in a multidisciplinary team with clinicians as well as with experts in statistics, applied mathematics, big data analysis, and
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, e-mail and telephone number) Description of the candidate’s relevant experience and training Documentation of the candidate’s experience with statistical software and data analysis Description
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medicine in psychiatry, building on advanced statistical methods for analysis of large-scale human genetic and neuroimaging data, to better understand how biological, psychological, and environmental factors
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powered by: Cookie Information Nettsiden bruker cookies Vi ønsker at du skal være trygg når du bruker dette nettstedet. Vi benytter cookies for å sikre at du får en best mulig brukeropplevelse og
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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