10 cloud-computing-phd-student Postdoctoral positions at Harvard University in material-science
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collaboration, this position is based on campus, full-time, at Harvard University. Remote work for this position is not possible. Basic Qualifications PhD in computer science, statistics, electrical engineering
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Harvard Brain Science Initiative: HBI Postdoctoral Pioneers Program Eligibility: Mid-to late-stage postdoctoral researchers conducting basic neuroscience research in areas outside of their lab’s
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version control ● Experience working with large datasets and cloud computing environments. ● Solid background in statistical modeling and inference ● Excellent written and oral communication skills, with a
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projects, acquire and analyze experimental data, supervise and mentor undergraduate students, prepare and submit peer-reviewed journal articles, and present their work at professional conferences. They will
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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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lab is seeking a highly motivated postdoctoral fellow to join the research program to explore radical-based mechanistic enzymology, studying PCET within ribonucleotide reductase (RNR). This position is
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. Conduct research in quantum chemistry. 2. Publish and present research findings in high-quality scientific journals and conferences. 3. Collaborate with faculty, researchers, and students
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The Computational Science and Engineering Laboratory at Harvard University invites applications for postdoctoral position at the interface of scientific Computing and Artificial Intelligence for applications
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materials science. 2. Publish and present research findings in high-quality scientific journals and conferences. 3. Collaborate with faculty, researchers, and students on interdisciplinary research projects
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biology, biology and/or microbiology. 2. Publish and present research findings in high-quality scientific journals and conferences. 3. Collaborate with faculty, researchers, and students