255 information-security "https:" "https:" "https:" "https:" "https:" "University of Cambridge" Fellowship positions at Harvard University
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postdoctoral research associate to work with Professor Michael Desai at Harvard University on projects involving inferring sequence-function landscapes, using a combination of empirical data and ML methods (e.g
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Center for Chinese Studies at Harvard University is pleased to announce the 2026-2027 competition for the Hou Family Fellowship in Taiwan Studies. The Hou Family Fellowship in Taiwan Studies sponsors one
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their doctoral dissertations by May 2026 in order to be considered for the position. The application deadline is May 3, 2026. Basic Qualifications REQUIRED SKILLS AND ABILITIES: Strong written and oral
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Science & Mechanical Engineering Position Description The Aizenberg Lab at Harvard University is seeking a postdoctoral researcher to join a multidisciplinary team to lead a field-based study characterizing
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, or a related discipline who have identified an independent research project that would utilize the Arboretum’s living collections. Deadline Month: January Description: The Putnam Fellowship is an
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Fellow position. The Arlotta lab at HSCRB is working to identify the cellular and molecular pathways disrupted in brain disorders such as schizophrenia and autism, by utilizing recent advances in genetics
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is May 3, 2026. Basic Qualifications REQUIRED SKILLS AND ABILITIES: Strong written and oral communications skills, and demonstrable success in writing, publishing, and presenting academic work in a
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Details Title Postdoctoral Fellow Murthy Lab School Faculty of Arts and Sciences Department/Area Molecular and Cellular Biology Position Description A postdoctoral position is immediately available
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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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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