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. Basic Qualifications Ph.D. or M.D./Ph.D. in areas such as systems neuroscience, visual neuroscience, neurophysiology, computational neuroscience, biomedical engineering, psychology, physics, or related
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have a PhD in physics, biology, or a related field by the time of appointment. The ideal candidate will also have demonstrated experience in machine learning and biological data analysis and a strong
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the research program. Basic Qualifications Ph.D. or M.D./Ph.D. in areas such as systems neuroscience, visual neuroscience, neurophysiology, computational neuroscience, biomedical engineering, psychology, physics
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facilities of the Harvard College Observatory and the Smithsonian Astrophysical Observatory under a single director to pursue studies of those basic physical processes that determine the nature and evolution
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may be renewed for additional years. Basic Qualifications A PhD or equivalent in materials science, applied physics, thermal properties, mechanical engineering or a related area is required. Additional
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machine learning methods for computational materials physics and chemistry. Projects include: The aim is to develop generalized equivariant neural network models NequIP and Allegro for machine learned
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collaborate with researchers across astronomy, physics, engineering, and the history and philosophy of science, while contributing to mission-focused scientific and technical activities in support of BHEX
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be involved in a process-based biosphere modeling study of tropical forests. The goal of the research project is to identify and characterize the underlying drivers of differences in the ways in which
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Details Title Postdoctoral Fellow School Faculty of Arts and Sciences Department/Area Molecular and Cellular Biology/Applied Physics/SEAS Position Description Our lab is developing a series of
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with strong analytical and numerical skills, and backgrounds in physics, theoretical neuroscience, applied mathematics, computer science, engineering, or related fields. Experience in relevant research