370 processor "https:" "https:" "https:" "Grenoble INP Institute of Engineering" positions at Harvard University
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Details Title Postdoctoral Fellow in On-Premise Computing for Autonomous Vehicles (Computer Architecture, Machine Learning and Runtime Systems) School Harvard John A. Paulson School of Engineering
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 09-Mar-26 Location: Cambridge, Massachusetts Categories: Academic/Faculty Computer/Information Sciences Internal
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of design and innovation on value creation for stakeholders. For more information on D^3/LISH , please visit https://d3.harvard.edu and https://d3.harvard.edu/lish/ . Research Focus: Postdoctoral Fellows
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Description The Teamcore Group (https://teamcore.seas.harvard.edu) at the John A. Paulson School of Engineering and Applied Sciences (SEAS) at Harvard University seeks postdoctoral fellows to work on AI
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 06-Mar-26 Location: Cambridge, Massachusetts Categories: Academic/Faculty Computer/Information Sciences Internal
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at the intersection of technology and public policy. One position will focus on the application of new technologies to the solving of public problems. We are particularly interested in computer scientists or social
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Description The Procaccia Group (https://procaccia.info/) at the John A. Paulson School of Engineering and Applied Sciences (SEAS) at Harvard University is seeking a postdoctoral fellow to work on economics and
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knowledge of Ancient Maya epigraphy. Experience in a research library, archive, special collection, museum, or comparable environment. Strong computer skills, including experience using relational databases
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-disciplinary team of researchers, including bioinformaticians, pathologists, oncologists, and computer scientists, and conduct original research on computational pathology. Digital pathology images contain rich
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Description Job Summary: The Segel lab at Harvard’s Department of Stem Cell and Regenerative Biology (https://hscrb.harvard.edu/labs/segel-lab/ ) explores the biology of aging through the lens of developmental