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evaluation. The models will then be implemented by the candidate to model longitudinally collected imaging data in large observational studies such as the Alzheimer’s disease neuroimaging initiative and the
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responsibilities: Data Strategy and Research Infrastructure: Oversees the design and high-level integration of the Rhodes/GLL digital ecosystem, ensuring the platform can host "big data" and interact with global
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, EEG and an in-house developed smartphone app (SOMA) to track pain, mood and emotions in healthy individuals and patient populations. The Research Assistant will support the execution of several large
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(SOMA) to track pain, mood and emotions in healthy individuals and patient populations. The Research Assistant will support the execution of several large-scale research studies (online and local
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materials, and working with study data for two National Institute of Mental Health-funded grants, “Distinct Steroid Mechanisms of Menstrual Cycle Exacerbation of Psychopathology” and “Ovarian Steroid Effects
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large-scale ERP or eRA implementations (e.g., InfoEd, Workday, Huron). Expert-level SQL skills and experience with advanced data visualization/reporting tools (e.g., Cognos, Tableau). Preferred
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to provide cash payments and collect study materials, and working with study data for two National Institute of Mental Health-funded grants, 'Distinct Steroid Mechanisms of Menstrual Cycle Exacerbation
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) Large-scale research computing platforms such as Globus, HPC environments, SLURM, GPFS; and 8) Machine Learning Frameworks, including Tensorflow. A hybrid onsite schedule is required. Benefits of Working
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benefits, visit the University Human Resources web page here for further information. About the Opportunity: The mission of Brown University is to serve the community, the nation and the world by
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with ability to synthesize large volumes of information. Excellent verbal and written communication skills; excellent interpersonal skills. Computer skills (data management, statistical software packages