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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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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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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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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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Details Title Open Postdoc Position – Rowland Institute School Faculty of Arts and Sciences Department/Area Optical microscopy Position Description The brain computes through distributed neural
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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
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program, or employed by a non-profit organization, as an undergraduate, postbaccalaureate, graduate, or post-doctoral trainee. Individuals who have previously received a professional development award from
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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