30 high-performance-quantum-computing Postdoctoral research jobs at Harvard University
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in Machine Learning, Computer Science, Electrical Engineering, Geophysics, Applied Mathematics, or a closely related field. Demonstrated strong research skills, evidenced by high-quality publications
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-relevant research related to aspects of the Medicare program, including payment policy, risk adjustment, and competition. Experience working with Medicare claims data, a deep understanding of econometrics
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. -Biochemistry. Responsibilities: 1. Conduct research in in vitro or animal models of aging. 2. Publish and present research findings in high-quality scientific journals and conferences. 3. Regularly communicate
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manuscripts, participate in teaching and mentoring of lab members as needed, and otherwise contribute to the overall lab operations and collaborative environment. A strong sense of collaboration and high levels
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, contingent upon work performance and continued funding to support the position. Standard Hours/Schedule: 35 hrs. per week | Monday - Friday | 9:00 am - 5:00 pm Visa Sponsorship Information: Harvard University
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chemistry, physics, and materials science. 2. Publish and present research findings in high-quality scientific journals and conferences. 3. Collaborate with faculty, researchers, and students
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high-achieving scholars from premier universities in the U.S. to do postdoctoral research at one of eight Israeli universities (Israeli University Postdoc Track) or spend part of their time at one
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-relevant research related to aspects of the Medicare program, including payment policy, risk adjustment, and competition. Experience working with Medicare claims data, a deep understanding of econometrics
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FAS Office of Postdoctoral Affairs: Postdoctoral Awards for Professional Development (PAPD) Deadline Month: This program is currently on pause. Description: These awards are designed to support the
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://www.nocera.harvard.edu/overview). 2. Publish and present research findings in high-quality scientific journals and conferences. 3. Collaborate with faculty, researchers, and students on interdisciplinary research projects