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cutting-edge theories, methods, and computational tools for integrating large-scale, heterogeneous biomedical data across multi-institutional research networks, with a focus on the analytical and
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applications for a Postdoctoral Fellow with Professor Pragya Sur. Professor Sur’s lab focuses on research in high-dimensional statistics, machine learning theory, or more broadly, mathematical foundations of AI
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(FAS) is the historic heart of Harvard University. It is the home of Harvard’s undergraduate program (Harvard College, founded in 1636) as well as all of Harvard’s Ph.D. programs (the Harvard Kenneth C
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Postdoctoral Fellow with Professor Morgane Austern. Professor Austern’s group focuses on research in high-dimensional statistics, probability theory, machine learning theory, graph data, Stein method, ergodic
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, computer science, architecture, and engineering to develop scalable, data-informed solutions in sustainable design, construction, and energy management. The Cluster aims to modernize—and ultimately revolutionize
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Position Description The Department of Statistics at Harvard University invites applications for a Postdoctoral Fellow with Professor Pragya Sur. Professor Sur’s lab focuses on research in high
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Position Description The Department of Statistics at Harvard University invites applications for a Postdoctoral Fellow with Professor Pragya Sur. Professor Sur’s lab focuses on research in high
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experimental results and project updates at internal meetings, and contribute to recommending next steps for experiments. Take an active role in strategy discussions related to projects. Maintain a high level of
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research in technology development of novel methods for profiling of nucleic acid and protein biomarkers from human biofluids. Perform computational analysis of high-throughput methods of analyzing nucleic
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opportunity to contribute to a high-impact, large-scale project investigating the evolution of cephalopods and their fascinating venom systems! As a Postdoctoral Fellow, you’ll be at the forefront of a cutting