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Field
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journal. Candidate must hold a PhD and/or M.D, by August 2026, at the latest. Certifications/Licenses Required Knowledge, Skills, and Abilities Proficiency in statistical programming (e.g., R, Python
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& Decision Neuroscience Lab (https://www.konovalab.com/ ) led by Dr. Anna Konova and located at the Rutgers Center for Advanced Human Brain Imaging Research (CAHBIR). The ADN Lab conducts decision neuroscience
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analytics projects as needed (e.g., ticketing, fan engagement, and scheduling). Build and maintain data pipelines and models using R, Python, SQL, and cloud computing resources, following best practices
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at https://postdoc.wustl.edu/prospective-postdocs-2/ . Trains under the supervision of a faculty mentor including (but not limited to): Perform quality checks of brain PET/MRI cognitive, clinical, genetic
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Fluency in mathematical concepts and manipulations Programming skills for acquiring and analyzing data (e.g., Python, LabView or MATLAB) Excellent verbal and written communication skills in English
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data analysis using Python, MATLAB, ImageJ/FIJI, DeepLabCut, or related tools. Maintains accurate records of experimentation, animal procedures, data analysis, and research progress. Analyzes, organizes
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Posting Link https://www.ubjobs.buffalo.edu/postings/63077 Employer Research Foundation Position Type RF Professional Job Type Full-Time Appointment Term Salary Grade E.89 Posting Detail Information
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candidates are expected to be skillful in some, but not necessarily all, of the following areas: experience with software languages and tools such as Python, R, Linux, GitHub, Globus, high-performance
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 11 days ago
6, 37077 (2016). https://doi.org/10.1038/srep37077 Field of Science: Technology Development Advisors: Hannes Kraus [email protected] (626) 319-1014 Corey Cochrane [email protected]
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international groups developing methods for the analysis of microbiome data (https://statdivlab.github.io/ ). The StatDivLab develops cutting-edge statistical methodology to address the most important