36 computer-programmer-"https:" "https:" "https:" "https:" "https:" "Data driven Materials Modeling" Postdoctoral research jobs at Harvard University
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https://www.physics.harvard.edu/ Harvard Physics Department 17 Oxford Street Cambridge, MA 02138 Contact Email [email protected] Salary Range $67,600-$80,000 Pay offered to the selected
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position in the Gozzi Lab at the Rowland Institute at Harvard (https://www.rowland.harvard.edu/). Our lab’s primary focus is on bacterial-encoded domesticated viruses, known as gene transfer agents
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-Direct the Responsible Conduct of Research (RCR) Program for postdocs Partner with the Center for Bioethics to deliver the RCR Program. Teach RCR sessions using cutting edge pedagogical techniques
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Fulbright U.S. Scholar Postdoctoral/Early Career Grants Eligibility: US citizenship required. Deadline Month: Various, announced February Description: The Fulbright U.S. Scholar Program offers
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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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. The postdoctoral researcher will contribute to ongoing JWST programs and collaborative projects, while being strongly encouraged to develop an independent research program. The postdoc is expected to lead and
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Details Title Postdoctoral Research Position in Time-Domain Astrophysics School Faculty of Arts and Sciences Department/Area Harvard College Observatory Position Description The Center for Astrophysics | Harvard & Smithsonian invites applications for a postdoctoral research position with Prof....
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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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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
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in internal meetings and at national/international conferences. ● Collaborate with an interdisciplinary team (bio)statisticians, data scientists, computer scientists, and climate scientists