635 computer-programmer-"https:"-"Brookhaven-Lab" "https:" "https:" "https:" "DESY" positions at Harvard University
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research compliance environment. This position will directly support this work. As a member of the Research Computing and Data Services (RCDS) team in Library and Research Services (LRS) at the Harvard
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asked to participate in the Resident On-Call Program providing the need exists and the basic requirements and qualifications for participation are met. Must have a valid Massachusetts driver’s license
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and Sciences (FAS) is the historic heart of Harvard University. It is the home of Harvard’s undergraduate program (Harvard College, founded in 1636) as well as all of Harvard’s Ph.D. programs
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from senior scientists who know your work. PLEASE NOTE- Applications MUST be submitted to the Harvard Academic Positions website in order to be considered. https://academicpositions.harvard.edu/postings
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on performance. Please take a look at the type of work Prof. Stantcheva does on her website: https://www.stefanie-stantcheva.com/ as well as on her Social Economics Lab website http://socialeconomicslab.org
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computer programming experience in any language (R or Python preferred) is required Fluency in Spanish is required Additional Qualifications and Skills: Bachelor's Degree in Environmental Science, comparable
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/requested. Independently administer the SEAS computer quarterly refresh program. Proactively communicate with members of the SEAS community about computer refreshes/deployments, prepare quarterly purchasing
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scientists, engineers, and/or doctors! The lab is committed to fostering lifelong learners in an environment that is diverse, inclusive and respectful. Learn more about our lab here: https
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and Benefits This position is salaried and benefits eligible. Information regarding postdoctoral fellow salary, which is determined by the number of years post PhD, and benefits can be found at https
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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