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-relevant research related to aspects of the Medicare program, including payment policy, risk adjustment, and competition. Experience working with Medicare claims data, a deep understanding of econometrics
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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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at least two of the following: electrophysiology, rodent experimentation, programming of controllers, neuroprosthetics or neuromodulators, peripheral nerve surgery, neural interfacing models Track record
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programming and communication skills. Experience in analysis of high-throughput sequencing data is highly desirable. Additional Qualifications Special Instructions Required documents: Curriculum Vitae Statement
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programming skills (Stata, R, Python; MATLAB) • Knowledge of econometrics and macroeconomic theory • Plus if also skilled in blockchain analysis but not necessary. • Strong written and verbal communication
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: Computational methods development and consortium data management for the Human Virome Program, with the mandate to characterize viral (phage and eukaryotic) communities across the human body in health and disease
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Affairs at Harvard University: Fellowships Deadline Month: January and December Description: The Center's programs and projects offer a variety of both pre-doctoral and post-doctoral research fellowships in
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Postdoctoral Fellowship program offers comprehensive research, training and professional development opportunities for scholars advancing their careers in political science. Fellows pursue their research with
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Center Postdoctoral Fellowship program offers comprehensive research, training and professional development opportunities for scholars advancing their careers in history. Fellows pursue their research with
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experience in modeling of atmospheric composition. Additional Qualifications Experience with the GEOS-Chem model and with inverse analyses, strong scientific programming skills. Experience with inverse