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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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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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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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in internal meetings and at national/international conferences. ● Collaborate with an interdisciplinary team (bio)statisticians, data scientists, computer scientists, and climate scientists
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and at national/international conferences. Collaborate with an interdisciplinary team of biostatisticians, computer scientists, and climate scientists. Contribute to open-source code, reproducible
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and at national/international conferences. ● Collaborate with an interdisciplinary team of biostatisticians, computer scientists, climate scientists and community and industry partners. ● Contribute
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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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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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statistics, computing, machine learning (ML), and genetics and genomics, with a focus on large-scale genetic, genomic, and phenotype data. The work will involve both methodological research and collaboration