90 computational-complexity-"Prof"-"Prof" Fellowship research jobs at Harvard University
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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
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synthesize complex, bioactive small molecules, as well as how these molecules function in nature and in the context of human health. We are looking to hire postdoctoral fellows that share this interest in
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courses. The program serves as an ideal bridge between college and graduate school for students interested in empirical economics. Most previous fellows have gone on to top Ph.D. programs. Salary and
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are invited to participate in broader activities at Harvard and Brown, including seminars and courses. The program serves as an ideal bridge between college and graduate school for students interested in
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or computational research, the successful candidate will be expected to apply for fellowship funding, contribute to the writing of grants and manuscripts, participate in teaching and mentoring of lab members as
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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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January 11, for awards is February 1, and for the internship program is February 15. Undergraduate Students Graduate Students and Advanced Undergraduates Post-doctoral Fellows Early-Career Scholars (from
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to precisely track brain and cognitive change over short intervals. The program of research seeks to understand individual differences in aging trajectories and to develop approaches to predict and monitor
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Details Title Postdoctoral Fellow in Robotics School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Computer Science Position Description The John A. Paulson
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will involve investigating the physiological and functional variation of plants using spectroscopy and will include greenhouse work, field work, plant phenotyping, computational analyses of hyperspectral