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in related research projects. Contribute to the lab’s collaborative and inclusive research culture. Basic Qualifications Ph.D. in Computer Science, Electrical Engineering, or a related field with a
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on academic record, as well as professional and extra-curricular experience. Basic Qualifications: PhD in Chemical Engineering, Electrical Engineering, Systems Engineering, Biomedical Engineering or related
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Applied Sciences Department/Area: Electrical Engineering Position Description: Professor Heng Yang's computational robotics group in the School of Engineering and Applied Sciences (SEAS) at Harvard
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Details Title Postdoctoral Fellow in Optimization and Learning School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Electrical Engineering Position Description
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semiconductor manufacturer, and will require both experiments and computational modeling. Candidates should have a strong interest in contributing to multidisciplinary teams (mechanical engineers, electrical
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experiments and computational modeling. Candidates should have a strong interest in contributing to multidisciplinary teams (mechanical engineers, electrical engineers, materials scientists, and R&D engineers
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and STEM education. The subject matter will involve mechanical and electrical engineering, computer programming, materials science, manufacturing methods, bio-inspiration, robotics, anatomy, artificial
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to the intellectual and critical life of the University. The Fellows—approximately 10 each year—are selected based on their potential to use the resources of the GSD, the University, and the current and past Fellows
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outsized, positive impact on the world. For the inaugural fellows cohort, target applicants are final-year Harvard SEAS (John A. Paulson School of Engineering and Applied Sciences) PhD students or current
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through novel approaches such as digital technology or task-sharing for scale-up of proven interventions. The research program is based in the Department of Global Health and Social Medicine at Harvard