22 postdoc-computational-biomedical-engineering Postdoctoral positions at Harvard University
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, Computer Science, Electrical Engineering, Geophysics, Applied Mathematics, or a closely related field. Demonstrated strong research skills, evidenced by high-quality publications in top-tier machine learning/AI
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inaccessible regimes. Work in the lab combines optics, protein engineering, chemistry, electrophysiology, simulation, and theory. We work at the levels of individual molecules, single cells, and whole
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for extraterrestrial techno signatures and analysis of data from the Galileo Project observatories. The successful candidate will have access to local computing facilities and will have the opportunity to interact and
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voluntary benefits. Most coverage begins as of your start date. Work/Life and Wellness: Child and elder/adult care resources including on campus childcare centers, Employee Assistance Program, and wellness
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applies new tools to study biology. We push the limits of physics and chemistry to make measurements in previously inaccessible regimes. Work in the lab combines optics, protein engineering, chemistry
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, 120-128. Basic Qualifications A PhD (or equivalent), or near completion, in a relevant field such as chemistry, physics, materials science, or engineering (chemical, electrical, or mechanical
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development of researchers who are transitioning from training environments in the physical, mathematical, computational sciences and/or engineering into postdoctoral work in the biological sciences, and who
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, physics, materials science, or engineering (chemical, electrical, or mechanical). Candidates should possess a good understanding and skills in electrochemistry, analytical science and instrumentation
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Details Title Postdoctoral Positions in High-Energy Theory at Harvard University School Faculty of Arts and Sciences Department/Area Physics Position Description Postdoctoral Positions in High-Energy Theory at Harvard University Applicants are invited for research positions in high-energy theory...
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data in near-term era quantum computers. Applicants with backgrounds in quantum information or particle physics are both encouraged to apply. Candidates with strong expertise in machine learning, quantum