152 machine-learning-"https:" "https:" "https:" "https:" "https:" "University of St" "St" Fellowship positions at Harvard University
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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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. transformer models). One focus of this work will be on B-cell receptor evolution. Experience in applications of modern machine learning methods as well as in biological data analysis are needed for the position
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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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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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for this position must have completed their Ph.D. degree by the appointment start date. Additional Qualifications Special Instructions Contact Information Elaine Mangelinkx Harvard Physics Department 17 Oxford St
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Information Stephanie Vincent Pierce Hall, Room 222 29 Oxford St. Cambridge, MA 02138 Contact Email svincent@seas.harvard.edu Salary Range $67,600 – $91,826 Pay offered to the selected candidate is dependent
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the auto market, especially electric vehicles. The position will be under the supervision of Professor James Stock and Dr. Elaine Buckberg, and it will be housed in the multidisciplinary Salata Institute
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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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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