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://scholar.harvard.edu/laibson/home https://faculty.som.yale.edu/jameschoi/ http://www.hbs.edu/jbeshears Principal Duties and Responsibilities: Performing statistical analyses on large databases Designing and running
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well as participants with panic disorder; Apply advanced statistical and computational modelling techniques to analyze the SCED data; Collaborate with clinical partners and interdisciplinary researchers; Disseminate
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of background check(s) in accordance with University policies. CAMPUS SECURITY CRIME STATISTICS Pursuant to the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act and the
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the EU Research Framework Programme? Not funded by a EU programme Reference Number 184188 Is the Job related to staff position within a Research Infrastructure? No Offer Description Advanced statistical
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and statistical methods as part of a close collaboration between Uppsala University, Westinghouse, and Vattenfall? Would you like to contribute to the development of fast, robust and reliable
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plasma and iPSC-derived human disease models. You will investigate disease-related molecular signatures using metabolomics, lipidomics, proteomics and genomics, and combine these data using statistical and
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) of sustained attention. Statistical and time-resolved modelling approaches will be used to characterize attentional fluctuations. The PhD will be conducted in a multidisciplinary environment combining cognitive
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to medium level skills in programming, image analysis and electronics • Solid knowledge and hands-on experience in light and electron microscopy. • Solid formation in genetics, statistics and molecular
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motivated and excellent candidates who will hold a Master’s degree (or equivalent) in computer science, mathematics, statistics, engineering, physics, or a related field. Candidates from the life sciences
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enrolled in a medical degree programme. Excellent command of Swedish and English, both spoken and written. Good knowledge of data analysis and statistics, including experience working with large datasets