334 data-"https:"-"https:"-"https:"-"https:"-"https:"-"U.S" Fellowship positions in United States
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the persuasive capabilities of AI systems and the risks they pose to the information ecosystem. Core responsibilities include: Advancing research on the risks of AI-driven persuasion within the information
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Responsibilities Perform CAR T cell generation and functional assays under guidance of senior lab members Conduct flow cytometry–based immune phenotyping and cytokine analyses Analyze and interpret data from
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of reference contacts (minimum of 3), and up to 3 publications. Contact Information Prof. Boris Kozinsky Contact Email bkoz@g.harvard.edu Salary Range $67,600 – $91,826 Pay offered to the selected candidate is
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, data science, civil engineering, or a related field, with research expertise in geospatial artificial intelligence, human dynamics, and/or urban informatics. Candidates will need to have completed
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sequencing, metabolism, drug development, structural biology, and large-scale data analysis and computational biology. For more information about Dr. Deng’s lab, please visit here. As a successful candidate
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. Activities may include training and supervising research assistants; experiment design, data collection and analysis, manuscript preparation and grant-writing, and collaboration with the research lab
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how critical materials are produced — making the process cleaner, smarter, and more efficient. This is an opportunity to help reshape how critical materials are produced — moving toward smarter, data
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are either 12 or 18 months in duration. For information on the previous Leadership in Government Fellow cohorts, please visit the Past Fellows tab on this page. The Leadership in Government Fellowship program
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. Expected Start Date: Between July 1-Aug 15, 2026. Exact date is negotiable. Contact Information Professor Pragya Sur Department of Statistics Harvard University Maxwell Dworkin 33 Oxford St Cambridge, MA
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/Fall 2026). Job Description: The Visual Cognition Lab studies how humans perceive, interpret, and navigate real-world scenes, linking visual information, semantic inference, and task demands to behavior