166 parallel-computing-numerical-methods-"https:" Postdoctoral uni jobs in United States
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Skip to main content Faculty Position: Quantum Topology & Quantum Computing Apply now to Faculty Position: Quantum Topology & Quantum Computing Job #JPF03153 Mathematics / College of Letters
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Assistant/Associate/Full Professor of Synthetic Biology and Computational Methods Apply now Job no: 536687 Work type: Faculty - Tenure Track Location: Eugene, OR Categories: Biology/Life Sciences
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Assistant/Associate/Full Professor, Quantum Computing Theory and Algorithms Yale University: School of Engineering and Applied Science: Computer Science Location New Haven, CT Open Date Oct 13, 2026
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In the School of Computing and Information Science, one or more courses may be offered to part-time, temporary faculty members in fall 2026 and/or spring 2027. Courses available could include
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winds, land–atmosphere interactions, or aerosol–cloud interactions Strong experience in numerical modeling and high-performance computing • Experience applying AI/ML methods to model development, with
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parallel postdoc researcher and other senior researchers at Division of Business and Technology Studies at Department of Technology, Management and Economics (DTU MAN). Responsibilities and
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mathematical foundations and modern aspects of quantum information science, potentially including algebraic and geometric quantization, quantum probability, quantum computing, quantum algorithms for PDEs
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Scientist, Information Science (Extended Temporary) (Remote Work Available) Posting Number req26830 Department Information Science Department Website Link https://infosci.arizona.edu/ Location To Be
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information about the Luddy School of Informatics, Computing, and Engineering, visit: https://luddy.iu.edu/ Basic Qualifications Minimum Qualifications: Applicants should possess a PhD in computer
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Centers: Surgery, General Surgery Postdoc Appointment Term: 1 year Appointment Start Date: November 1, 2026 Group or Departmental Website: https://med.stanford.edu/s-spire.html (link is external