549 data-"https:"-"https:"-"https:"-"https:"-"INESC-TEC" positions at Harvard University
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Position Description We are seeking a Research Fellow with an undergraduate or masters degree in Biomechanics, Kinesiology, Movement Science, Physiology, or Biomedical Engineering, to assist with data
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on information related to nutrition, body weight or body composition from student-athletes or coaches. Motivate all athletes to pursue excellence and educate them through athletics. Provide service in a safe
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negotiation support for sponsored research agreements and strategic alliances. Coordinate cross-functional efforts with contract research organizations (CROs) to ensure milestone execution and data quality
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’ feedback Coordinate HKS leadership engagement and CPL touchpoints Collaborate with the CPL External Engagement team and ARRD to support donor engagement, including providing information for reporting. Manage
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experience is preferred. Additional Qualifications Special Instructions Contact Information Laura Medeiros Contact Email hksacademicpositions@hks.harvard.edu Salary Range $120,000 – $250,000 Minimum Number
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, information, prioritization, and coordination of assignments for Property Operations Assistants’ (POA). Coordinates and assists in the administration of all service-related contracts (HVAC maintenance, security
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trial and observational study review, design and review of data collection forms and stratification/randomization of studies; statistical programming; data analysis and monitoring; and report writing
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data using python. Report results using a variety of scientific, word processing, and presentation platforms. Maintenance and cleaning of additional laboratory equipment and glassware. May instruct other
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leadership, and we are a strong community that values diversity. For more information about HGSE, its programs, research, and faculty, please visit: www.gse.harvard.edu . Job Description The Program Manager
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cutting-edge theories, methods, and computational tools for integrating large-scale, heterogeneous biomedical data across multi-institutional research networks, with a focus on the analytical and