382 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"MPG" positions at Harvard University
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The Walsh lab is seeking a Fellow to assist with data collection and processing for lab and field based studies of wearable robots. The Fellow should be a collaborative problem solver who is proficient
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developing next-generation AI methods for healthy climate adaptation. The position will focus on building and evaluating foundation models for large-scale spatiotemporal health and environmental data. Our team
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submit with their application contact information for two to three references from experts at the ladder faculty ranks or highly accomplished senior researchers from corporations or research institutes
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contact information for up to three references. Contact Information Mark Peterson Contact Email mpeterson@seas.harvard.edu Salary Range $67,600 – $91,826 Pay offered to the selected candidate is dependent
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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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with team members to analyze and resolve data and pay discrepancies. Proactively monitors and resolves issues with employee pay errors including Time & Labor and Absence Management as well as data
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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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, and two to three references’ names and contact information. Applications must be received by March 9th, 2026. For more information, please visit our website at liaulab.com or contact the department
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. Additional Qualifications Special Instructions Letters of recommendation are required at the time of application. Candidates should submit with their application contact information for two to three references
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of application. Candidates should submit with their application contact information for two to three references from experts at the ladder faculty ranks or highly accomplished senior researchers from