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Field
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learning methods for computational chemistry, materials science, and molecular discovery, including transferable neural network potentials, generative molecular design, and experiment-automation workflows
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Department with significant expertise in Machine Learning/AI are available to help provide overall guidance and strategy to the postdoc. Stanford Departments and Centers: Anesthesiology, Perioperative and Pain
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-impact portfolio. This position is designed as a launchpad for an ambitious postdoc intending to build their own independent laboratory. We are seeking a highly driven, intellectually rigorous, and
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University. The postdoc will contribute to and help lead projects that may involve concepts and priorities such as knowledge-graph-driven data integration, AI-powered literature review, agentic database search
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/2026 Review Start Date Open Until Filled Yes Special Instructions to Applicants To apply, applicants should go to https://uta.peopleadmin.com/postings/34644 and submit the following materials: Required
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University of California, Los Angeles | Los Angeles, California | United States | about 2 months ago
the following materials as a single PDF document to [email protected] with the subject line "Postdoc Application – [Your Last Name]" Lab: https://parklab.ucla.edu/ Qualifications Basic qualifications • Ph.D. in
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Columbus, Ohio. More information about the lab is available at https://sun-hongyu.github.io/ . We welcome applicants from diverse disciplinary backgrounds, including geophysics, seismology, data science
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https://www.timeshighereducation.com/unijobs/listing/412394/asari-postdoc-in-zo… Requirements Additional Information STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E
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, education, and collaboration, we create solutions that connect materials to mobility, ideas to impact – shaping a resilient and sustainable world. We make impact. At the Division of Vehicle Engineering and
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Join us at the Division of Chemical Physics , Department of Physics and Astronomy , and contribute to the development of next-generation artificial intelligence methods for materials discovery and