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, working alongside postdocs, research staff, and students, as well as with collaborators and established software development teams. Our interdisciplinary lab represents a convergence of microbial ecology
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models and how to leverage such structure for the design of efficient machine learning algorithms with provable guarantees. Research areas include Representation Learning, Machine learning and Optimization
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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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: $78000.00 (USD) w/ addition of 10k annual research funds Included Benefits: Health, Dental, and Harvard Postdoc Benefits Basic Qualifications PhD degrees (or anticipating one) Additional Qualifications
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. https://pai.seas.harvard.edu The postdoc is intended for one year but we anticipate there will be funding to potentially extend it to a second year. The postdoc will receive a generous salary as
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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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fabricating nanoelectronics and flexible electronics. An extensive experience in cleanroom nanofabrication is required. The postdoc is also expected to collaborate with other researchers to apply
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. The initial term for this position is one year; reappointment for a second year is contingent upon funding. The postdoc will work with closely with Minlan Yu and other group members focused on networking
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and Machine Learning, with a focus on studying geometric structures in data and models and how to leverage such structure for the design of efficient machine learning algorithms with provable guarantees
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associate to work with Professor Christopher Kuzawa at Harvard University. The postdoc will oversee analysis and write up of an extensive longitudinal dataset that has followed a large population in Cebu