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: Harvard John A. Paulson School of Engineering and Applied Sciences Position Description: The Computational Science and Engineering Laboratory at Harvard University invites applications for postdoctoral
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Education and the Curriculum Fellows Program to align and strengthen the postdoc RCR course and the graduate student Responsible Conduct of Science (RCoS) course. Other tasks as assigned Physical Requirements
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Models Basic Qualifications: A Ph.D. or equivalent degree in Machine Learning, Computer Science, Electrical Engineering, Geophysics, Applied Mathematics, or a closely related field. Demonstrated strong
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related field: Computer Science Statistics / Biostatistics Applied Mathematics Data Science ● Demonstrated expertise in modern machine learning, including at least one of the following: Spatiotemporal
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research workflows, and, where possible, public tools or model artifacts. Basic Qualifications PhD (completed or near completion) in one of the following or a closely related field: Computer Science
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. ● Contribute to open-source code and reproducible pipelines. Basic Qualifications ● PhD (completed or near completion) in Statistics, Biostatistics, Data Science, Computer Science or a closely related field
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to candidates who can start in January 2026, but applications from candidates with a later start date will also be considered. Basic Qualifications Ph.D. in physics, applied physics, chemistry, materials science
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Details Title Postdoctoral Research Position in Computational Physics at Harvard University School Faculty of Arts and Sciences Department/Area Physics Position Description Postdoctoral Research