467 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" uni jobs at Harvard University
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and implementing commercialization plans for technologies in the physical sciences, engineering, applied, and computer sciences. This entails assessing the commercial potential and market opportunities
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familiarity with generally accepted accounting principles is preferred. Must have excellent computer skills including in-depth understanding of, and experience with, databases, spreadsheets, word processing and
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, methods, and compliance with established protocols. Ensure adherence to all quality assurance, regulatory, and compliance requirements (e.g., IRB, data security, funding restrictions). Guide data collection
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, (2) previous teaching experience of Coptic at all levels. Previous publications are desirable, but not required. Additional Qualifications Special Instructions Contact Information Applicants may
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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 Job Summary: The
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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 Job Summary: The
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,” and we love challenges. For more information discover our technologies , catch up on our recent news , or watch our latest videos . Job Description Job Summary: The Wyss Institute for Biologically
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investigators Assists in the development of study materials and data collection protocols for research collaborations with Title V agencies using established software such as REDCap Assists in the training and
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delicate archival materials carefully. Prolonged periods of examining documents under magnification and repetitive data entry tasks are also common. Qualifications Basic Qualifications: ALA-accredited MLS
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Technical Leadership Collaborate with data scientists, ML engineers, and software developers to translate business requirements into technical specifications Understand AI/ML fundamentals including model