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position is for a defined term of 2 years from the date of hire. The successful experienced Postdoc candidate will bring strong computational and statistical skills (e.g., a background in Computational
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. Conducting descriptive and inferential statistical analyses. Contributing to publications in peer-reviewed scientific journals. Where will I be located? This opportunity is 100% remote. What is the anticipated
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conditions and policy outcomes. Desired areas of expertise include: dynamic and complex systems, agent-based modeling, computer programming (familiarity with R, Python, Netlogo), statistical analysis
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-class biologists in the Harvard medical area. Basic Qualifications An ideal candidate will have a PhD in computational biology/bioinformatics/statistics/CS or another quantitative field. Superb
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review. You will receive training in advanced statistical methods for safety signal detection, machine learning applications in pharmacovigilance, and evidence synthesis techniques. You will collaborate
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statistical inference/optimization, and will have the chance to mentor both undergraduate and graduate students in these areas (as it relates to joint projects). Special Instructions Required application
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experience in protein dynamics studies. The candidate should be knowledgeable about concepts in statistical thermodynamics, in python scripting and C++ programming. Preferred qualifications: Familiarity with
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, Medicare and/or commercial claims data, a deep understanding of analytical methods and statistics, and advanced programming skills are therefore desired. The role will also involve preparation of graphical
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geometry, temporal generalization). Computational measures of visual information (e.g., image statistics/compressibility proxies, deep network features, object/scene representations). Position Summary
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University's Department of Mathematics and Statistics is searching for a Postdoctoral Fellow to work with Dr. Xiaolong Li's group. This position will perform research and teach one undergraduate Math or Stats