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computational efforts across multiple labs at Harvard’s Faculty of Arts and Sciences and Medical School. As part of this effort, the Rubin lab is implementing new methods of studying aging in vitro using brain
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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
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regimes of deep networks. Basic Qualifications: A PhD is required. We seek candidates with strong analytical and numerical skills, and backgrounds in physics, theoretical neuroscience, applied mathematics
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learning algorithms. We combine statistical methods with online reinforcement learning algorithms to develop reinforcement learning algorithms and inferential tools. The successful applicant will be expected
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our lab. Potential applications of interest include artificial extracellular matrices for regenerative medicine, breadboards for localized molecular computing, and nanophotonic devices. Present
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terrace, fitness center, locker room, bike storage, and close proximity to numerous restaurants and cultural attractions. Why you’ll like working with us: At the Wyss Institute, you’re a member of a
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. Research areas include Representation Learning, Machine learning and Optimization on graphs and manifolds, as well as applications of geometric methods in the Sciences. This is a one-year position with
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The Postdoctoral Diversity Enrichment Program (PDEP) provides $60,000 over three years to support the career development activities and success of underrepresented postdoctoral fellows in a degree
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terrace, fitness center, locker room, bike storage, and close proximity to numerous restaurants and cultural attractions. Why you’ll like working with us: At the Wyss Institute, you’re a member of a