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Apply Now Job ID JR101223Date posted 06/12/2024 Our group is part of the vibrant Condensed Matter Physics and Materials Science division with varied research groups studying both fundamental and
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Details Posted: 09-Jun-24 Location: Syracuse, New York Salary: Open Categories: Academic/Faculty Other - Academic/Faculty Internal Number: 102607 Job Description: The Physics department at Syracuse
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leader of global particle physics experiments to explore the fundamental constituents of nature with ultimate precision and to discover phenomena that signal physics beyond the Standard Model. A permanent
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, Department of Physics, Carnegie Mellon University. The project will center around topological systems and quantum spin liquids in two-dimensional materials. The ideal candidate will hold a Ph.D. in
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 10 days ago
POSTDOCTORAL ASSOCIATE, Plasma Science and Fusion Center (PSFC), to work in the area of high energy density physics (HEDP) experiments, including inertial confinement fusion and nuclear astrophysics research
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the internal application process. Welcome to The Ohio State University's career site. We invite you to apply to positions of interest. In order to ensure your application is complete, you must complete
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the internal application process. Welcome to The Ohio State University's career site. We invite you to apply to positions of interest. In order to ensure your application is complete, you must complete
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The Argonne National Laboratory (ANL) High Energy Physics Division invites applications for a Postdoctoral Research Associate to work in the ATLAS group on physics analysis and the Phase-II Inner
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the internal application process. Welcome to The Ohio State University's career site. We invite you to apply to positions of interest. In order to ensure your application is complete, you must complete
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of students and postdocs from a diverse array of backgrounds including neuroscience, mathematics, physics and engineering, working together on understanding neural circuit computation, particularly relating