838 data "https:" "https:" "https:" "https:" "University of Aberdeen" positions at Harvard University
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source of information on complex fiscal and administrative policies and procedures including funding requirements, and advise on options or alternatives effectively recommending courses of action on fiscal
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Senior Data Scientist specializing in Generative AI applications, you will play a pivotal role in developing innovative generative AI products that support the Harvard Business School (HBS) Foundry team
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coordinate teams Positive attitude Exposure to online/hybrid learning models Experience in MS-Office, particularly Excel and PowerPoint, Canvas, Cvent event management, a plus Additional Information
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. Relevant knife skills. Previous experience working in a University environment preferred. Additional Information Standard Hours/Schedule: 35 hours per week, Sunday - Saturday Flexible Schedule, 7 hours per
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. Relevant knife skills. Previous experience working in a University environment preferred. Additional Information Standard Hours/Schedule: 32 hours per week, Sunday - Saturday Flexible Schedule, 6.4 hours per
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equipment. Additional Information Standard Hours/Schedule: 35 hours per week Visa Sponsorship Information: Harvard University is unable to provide visa sponsorship for this position Pre-Employment Screening
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, relationship management, and data-informed operations. This role is ideal for someone who thrives at the intersection of systems, relationships, and strategy—someone who can build structure, design strong
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will proactively solicit information about upcoming research, build relationships with faculty, and make recommendations to the broader OCPA team about communications plans for each research rollout
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-paced environment is required. Additional Information Appointment End Date: This is a one-year term position Standard Hours/Schedule: 35 hours per week Visa Sponsorship Information: Harvard University is
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is research excellence and fit with the lab’s focus. More information on the lab’s research is available here . We especially encourage candidates with proven experience in applying computational and