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the research group and will work with collaborators at other institutions (nationally and internationally) The successful candidate should have the following qualifications: PhD in Epidemiology, Data Science
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Posting Details Student Title Classification Information Quick Link https://chapman.peopleadmin.com/postings/40588 Job Number SE222624 Position Information Department or Unit Name Health Science
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quantitative and qualitative analytic plans, generate data visualizations, collaborate on data interpretations, conduct literature reviews, and assist with preparation of reports, scientific publications, and
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Posting Summary Logo Posting Number RTF00204PO26 USC Market Title Post Doctoral Fellow Link to USC Market Title https://uscjobs.sc.edu/titles/156387 Business Title (Internal Title) Post Doctoral
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Curriculum Developer - Community for Rigor - Kording Lab Job Profile Title Manager Research Project B Job Description Summary The Community for Rigor (C4R - https://c4r.io/ ) is a growing and innovative team
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University of California, Los Angeles | Los Angeles, California | United States | about 12 hours ago
, the candidate will work in the Andrea Hevener Lab and conduct basic science research, including studies on genetically engineered mouse models and cell lines. Candidates must have experience visualizing and
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Booth School of Business, please visit: http://www.chicagobooth.edu/. Job Summary Senior Associate Director, Marketing Systems and Automation owns Booth's marketing automation strategy and execution and
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in uncertain environments such as stock portfolio optimization. The lab does not specialize in applied data science projects or computational social science research. Candidates whose primary interest
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. Department of Ophthalmology and Visual Sciences website: https://ophthalmology.uci.edu/ Qualifications Basic qualifications (required at time of application) A doctoral degree (e.g., Ph.D., M.D. or M.D./Ph.D
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to environmental stimuli, from decision-making to motor coordination. He/she will develop analyses and computational models to explain existing datasets and extract the algorithms underlying responses to visual and