767 engineering-computation "https:" "https:" "https:" "https:" "University of Cambridge" positions at Harvard University
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Details Title Postdoctoral Fellowship in Differentially Private Learning and Replicability School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Computer
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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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for postdoctoral appointments who plan to work on AI existential safety research. FIL defines AI existential safety research as: a) research that analyzes the most probable ways in which AI technology could cause
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Details Title Postdoctoral Research Fellowships in the Science and Theory of Generative Modeling School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Computer
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of Information Technology, providing state of the art computational expertise to the CBAR. The System Administrator will collaborate with other members of the IT Infrastructure Team, maintaining and administering Linux
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and implementing commercialization plans for technologies in the physical sciences, engineering, applied, and computer sciences. This entails assessing the commercial potential and market opportunities
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with strong analytical and numerical skills, and backgrounds in physics, theoretical neuroscience, applied mathematics, computer science, engineering, or related fields. Experience in relevant research
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of disciplines—architecture, landscape architecture, urban planning and design, design engineering, real estate and housing—with an emerging research program and a robust public program of lectures and exhibition
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of researchers who have transitioned or are transitioning from training environments in the physical/mathematical/computational sciences or engineering into postdoctoral work in the biological sciences, and who
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Machine Learning Engineer with advanced expertise to lead development of large language models (LLMs) to advance CCB’s mission to leverage data and computation to transform research and education, and to