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renewal Appointment Start Date: Flexible, with preference for Summer or Fall 2026 Group or Departmental Website: https://mellab.stanford.edu/ (link is external) https://spoglab.stanford.edu/ (link is
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, as well as connections to Duke initiatives in AI and data science. This search is distinct from, but complementary to, the Duke University Discovery AI Initiative https://academicjobsonline.org/ajo
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learning/computer science. Prior experience in computational mass spectrometry will be viewed favorably but is not a requirement if the candidate has complementary expertise. Individuals should have
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quantum computing, computational biology, genomics, and materials science. You will have the opportunity to delve deeply into quantum computing and contribute to high-quality research with real-world
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Manufacturing; Luminescent Materials and Aggregate Science; New Energy Materials and Catalysis This forum will be held online via Zoom from August 28 to 30, 2026. Registration Deadline: August 8, 2026 Invited
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departments (physics, math, computer science, materials science and engineering, EECS, Information Science and Technology, electrical engineering), including Profs. Zhen Bi, Long Qing Chen, Swaroop Ghosh
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/Assistant Professor: $90,000+ annually, plus benefits. Closing date 10 Nov 2026 Website https://zapphosting.com/skoklab/ View more categories View less categories Discipline Biomedicine , Life Science
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externally funded and self-funded students. Applicants with a background in robotics, mechanical engineering, electrical and electronic engineering, computer science, physics, materials science
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The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational
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operating conditions, is difficult to access experimentally and lies beyond the reach of standard simulation methods. This PhD topic falls within the area of computational materials science and will