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Description The Teamcore Group (https://teamcore.seas.harvard.edu) at the John A. Paulson School of Engineering and Applied Sciences (SEAS) at Harvard University seeks postdoctoral fellows to work on AI
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system transformation. Fellows will engage in rigorous empirical, computational, and theoretical research that integrates engineering models of power systems with modern econometric and economic analysis
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, and either flow cytometry or microscopy, or both. The ideal candidate values patience, curiosity, and hypothesis-driven science, and is eager to learn new model systems and/or techniques. High standards
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modeling preferred. Sociology: PhD in Sociology or Organizational Behavior with expertise in computational social science, organizational theory, social networks, science and technology studies, or economic
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) Finance is seeking a detail-oriented and experienced Financial Analyst with experience in budgets, financial modeling and multi-year project management to join our dynamic team. The ideal candidate will act
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crafts, delivers and supports pioneering technology solutions that connect, enable and inspire the HBS community to educate leaders who make a difference in the world. Visit our website for more
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vibrant, mission-driven community, interdisciplinary approach, and commitment to addressing some of the most pressing health challenges worldwide. We foster a collaborative and inclusive work environment
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of therapeutics for heavy menstrual bleeding (HMB). We will be developing a human Organ Chip model of HMB and use it to identify causal factors, as well as discover new non-hormonal HMB therapeutics using multi
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. Contribute equally to the design and development of core architectural components, UI and Java components, and back-end database models. Mentor junior developers and champion engineering best practices through
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of therapeutics for heavy menstrual bleeding (HMB). We will be developing a human Organ Chip model of HMB and use it to identify causal factors, as well as discover new non-hormonal HMB therapeutics using multi