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compensation and working conditions. Basic Qualifications Ph.D. or M.D./Ph.D. in areas such as machine learning, computer science or closely related field. Excellent programming skills and practical experience
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technologies. Experience with imaging technologies and computational data analysis preferred. Strong publication record and evidence of research independence. Excellent communication, teamwork, and problem
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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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Life Sciences Research Foundation: Postdoctoral Fellowships Eligibility: Non-U.S. citizens must work in a U.S. laboratory. Individuals who have held a PhD or MD degree for more than 5 years at the time of application are not eligible. Applicants must complete postdoctoral training in a lab...
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with human subjects and associated research regulations, including the IRB is important part of tole. For lab-based studies, s/he will have access to state of the art equipment (Qualysis cameras, Bertec
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include online exhibitions, development of syllabi and lesson plans, a museum and garden tour focused on plants, etc. The Fellow will also teach in the Plant Humanities Summer Program . The Fellow will
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computer science Special Instructions Applicants should include a full CV, cover letter summarizing your experience, list of reference contacts (minimum of 3), and up to 3 publications. Contact Information Marina
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place across the departments of Physics, Chemistry and Chemical Biology, Mathematics, and the School of Engineering and Applied Sciences. Active research areas include quantum information and computer
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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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with strong analytical and numerical skills, and backgrounds in physics, theoretical neuroscience, applied mathematics, computer science, engineering, or related fields. Experience in relevant research