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Computational Science and Engineering Laboratory at Harvard University invites applications for postdoctoral position at the interface of scientific Computing and Artificial Intelligence for
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intersection of machine learning, neuroscience, and computational biology. This role centers on computational neurobiology and the use of modern AI/ML methods to model brain circuits and neural activity. In
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. Information regarding postdoctoral fellow salary, which is determined by the number of years post PhD, and benefits can be found at https://postdoc.hms.harvard.edu/guidelines . With this appointment
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their position. We are most interested in applicants who have experience in computational methods development, in human genetics or a different field. Possible areas of research include: 1. Developing
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commitment, the external finalist for this position will be required to complete a questionnaire regarding misconduct and Harvard will make parallel inquiries to his/her/their current and former employers
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to ambitious research at the intersection of machine learning, neuroscience, and computational biology. This role centers on computational neurobiology and the use of modern AI/ML methods to model
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Telescope project) and Michael Johnson (Astrophysicist, Harvard-Smithsonian CfA). Successful candidates will have access to our computing facilities and will have the opportunity to interact and work
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apply these methods to address challenges in scientific discovery and precision medicine. We seek highly motivated applicants with a background in one or more of the following areas: agentic AI
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these methods to address challenges in scientific discovery and precision medicine. We seek highly motivated applicants with a background in one or more of the following areas: agentic AI, geometric
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to the practice of public policy. Requirements include a doctorate in political science and a strong capacity to integrate methods and insights across disciplinary boundaries. Applicants should submit