169 computational-material-science-"Multiple" Fellowship positions at Harvard University
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Details Title Postdoctoral Fellow in Epigenomics and Human Biology School Faculty of Arts and Sciences Department/Area Human Evolutionary Biology Position Description We seek a postdoctoral research
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Details Title Postdoctoral Fellow - DNA Origami School Wyss Institute for Biologically Inspired Engineering Department/Area Position Description About the Wyss: The Wyss Institute’s mission is to
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and Regenerative Biology has an exciting and broad multiomics program focused on brain aging. Approaches will include experimental and computational efforts across multiple labs at Harvard's Faculty
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understanding the intricacies of plant chemistry and biology. Research in the Nett lab spans multiple, distinct projects that are all unified by the chemistry of plants, including: 1) evolutionary and biochemical
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crisis through transformative innovation in the built environment. This pioneering effort brings together Harvard scholars and practitioners across chemistry, materials science, fluid mechanics, AI
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Details Title Postdoctoral Fellowship in Power and AI Systems School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Computer Science/ Electrical Engineering
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Details Title Postdoctoral Fellow in Neuroscience School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Bioengineering Position Description Professor Jia Liu and
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@seas.harvard.edu . Applications will be reviewed on a rolling basis. Basic Qualifications A Ph.D. in Mathematics, Computer Science, or a related field, by the start of the appointment. Additional Qualifications
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rolling basis. The position will remain open until filled. Basic Qualifications A Ph.D. in Mathematics, Applied Mathematics, Computer Science, or a related field, by the start of the appointment. Additional
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of Engineering and Applied Sciences. The fellow will design and run human experiments, perform data analysis, and create computational models of learning and memory. A PhD is required. An ideal candidate will be