38 computer-science-intern "https:" "https:" "https:" "https:" "Dana Farber Cancer Institute" research jobs at Brown University
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Job Description: The Petzschner lab at the Cognitive and Psychological Science Department is conducting longitudinal measurements using cognitive tasks, EEG and an in-house developed smartphone app
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molecular biology procedures, cell culture, and basic laboratory management. The primary purpose of this position is to help the lab make progress toward its research goals of dissecting spatial regulation
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IRBs Familiarity with REDCap, Qualtrics, or similar data collection services Familiarity with Statistical Package for the Social Sciences (SPSS) and/or R Job Competencies: Ability to multi-task. Strong
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Bachelor’s degree in Neuroscience, Psychology, Cognitive Science, Computer Science, or related field, with prior related undergraduate research experience or extensive coursework required. (Grade 7) Required
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the possibility of renewal depending on the funding source. Education and Experience Bachelor of Science or Arts in psychology, cognitive science, computer science, or related field is required and 1–2 years
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for candidates with an interest in economics, health services research, medicine, and related fields and who have plans for doctoral studies after working as a Research Assistant for 1-2 years. The position works
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Brown University, Institute for Computational and Experimental Research in Mathematics Position ID: ICERM-SPRING27 [#27092] Position Title: Position Type: Postdoctoral Position Location: Providence
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organizational skills with keen attention to detail. ● Excellent verbal and written communication skills; excellent interpersonal skills. ● Computer skills (word processing, data management, Power Point, reference
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. The Fairbrother Laboratory uses a combination of computational biology and high-throughput genomics techniques to identify functional elements in the genome. We seek to understand recognition events important in
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momentary assessment, and wearable technology in combination with predictive algorithms. This research study is being conducted in collaboration with the RI Resilience Lab at Brown University, led by Dr