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(D^3) Institute and the LISH/Data Science & AI Operations Lab seek enthusiastic Postdoctoral Fellows skilled in computer science, statistics, operations research, or related computational fields. As
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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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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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, 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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research that integrates engineering models of power systems with modern econometric and economic analysis. Responsibilities include conceptualizing and implementing statistical and structural models
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, building software, and potentially collaborating on applied health sciences projects. Basic Qualifications Candidates should have a doctoral degree in biostatistics, statistics, or a related field. Strong
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have opportunities to lead analysis and write up of original research articles, along with co-authorship opportunities for analyses led by mentees. Statistical expertise is necessary, as is familiarity
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policy, economics, statistics, or a related quantitative field Additional Qualifications Strong skills in Stata, R and/or Python and experience analyzing complex data Demonstrated experience working with
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. Responsibilities include conceptualizing and implementing statistical and structural models, developing scalable algorithms for system optimization and control, conducting policy-relevant economic analysis
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and Asia. This position offers an excellent opportunity to strengthen skills in primary data collection, advanced statistical analysis, evidence synthesis, proposal development, and scientific writing