131 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" Fellowship research jobs at Harvard University in United States
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and contact information for three people who have agreed to serve as your reference Contact Information 10 Shattuck St. Boston, MA 02115 Contact Email heather_viana@hms.harvard.edu Salary Range https
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: January 9, 2026 For more information, see http://warrencenter.fas.harvard.edu/. Basic Qualifications Applicants may not be degree candidates and should have a Ph.D. or equivalent. Fellows have library
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Jia Liu is seeking a highly-motivated postdoctoral researcher with a strong background in agentic artificial intelligence and machine learning. The successful candidate will conduct independent, high
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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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on projects at the intersection of computational neuroscience and machine learning. This position is part of a multi-investigator grant on the role of memory in intelligence systems. The Postdoctoral Fellow
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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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, machine learning and AI, statistical computing, big data and AI applications and prediction in biology, medicine and infectious diseases. Potential research projects include (but are not limited
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performance enhancement. The Postdoctoral Researcher will coordinate and lead a research project at the intersection of wearable sensing, controls, machine learning, AI, robotics, and movement science. They
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of at least some of the following: – Extensive independent research experience – Creativity and independence – Experience analyzing hyperspectral data and developing machine learning models - Genetic
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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