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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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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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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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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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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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range of scientific audiences. Eagerness to learn new techniques and to stay up to date with the current literature to inform experimental design. Expertise in managing collaborations and working in teams
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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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research experience Basic Qualifications A PhD in Bioengineering, Biomedical Engineering, Electrical Engineering, Mechanical Engineering, and/or Neuroscience Extensive experience with at least two of the
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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