397 programming-"https:"-"https:"-"https:"-"CIPMM---Systemic-Neurophysiology" positions at Harvard University
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industry partners, participation in translational strategy discussions, and potential involvement in intellectual property development, startup formation, or partnered research programs Additional
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in developing and tracking the detailed, zero-based annual operating budget. The candidate will develop and implement innovative processes and programs that reduce operating costs, improve efficiencies
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Description The Engineering Fellowship Program at Kempner Institute at Harvard University offers a structured opportunity for recent graduates (fellows) to further their experience in AI/ML engineering. The
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assessment, and ambulatory behavioral assessments to precisely track brain and cognitive change over short intervals. The program of research seeks to understand individual differences in aging trajectories
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processes for sample collection, storage, and coordination with study teams. The coordinator will work closely with the Director of Research and Training Programs to build and standardize school-wide
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commercial real estate portfolios Leading community engagement and programming opportunities Managing relationships with external partners and vendors Working within the larger University community to develop
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Skills: A background in statistical programming (competency in STATA and R or SAS) and a basic understanding of econometrics or statistics is strongly encouraged. BA or BS, preferably in the field
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degree requirements must be satisfied prior to the fellowship start date and not be more than five years removed from obtaining their PhD. Applicants are expected to have strong analytical and programming
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necessary. Draft, issue, track, and release legal hold notices; monitor acknowledgments and compliance; maintain audit-ready logs Scope, plan, track, and execute targeted and large-scale data collections
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treatment-control interference; · Programming/scripting knowledge suitable for processing raw data for analysis (e.g., text manipulation); · One or more computational environments for statistical analysis