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Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job 100% Research This is a request for FTPI postdoc position in condensed matter theory. It will benefit the ongoing research
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condensed matter surfaces and interfaces using X-ray reflectivity (XRR), grazing-incidence wide- and small-angle scattering (GIWAXS and GISAXS), and complementary methods such as X-ray fluorescence (XRF) and
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Position Description The Condensed Matter Theory group at the University of California, Davis invites applications for a postdoctoral scholar researcher position in Theoretical Condensed Matter
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or equivalent Skills/Qualifications Research profile with a PhD in Physics, Condensed Matter Physics or a related field, and proven experience in condensed matter physics, quantum materials and strongly
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discussions, diversity, and teamwork. Our research has connections to both condensed matter and quantum optics. For more detailed information see our group homepage: https://phys.au.dk/forskning
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, quantum science, condensed matter, materials, photonics and interdisciplinary applications of physical science. This role sits within a collaborative quantum science project at King’s on quantum algorithms
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Research Center for Molecular Medicine (CeMM), ÖAW | Vienna, Virginia | United States | about 2 months ago
We are recruiting a group of postdocs who are eager to pursue ground-breaking biomedical research, and we will help them to establish themselves as future scientific leaders. This postdoc program is
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Researcher (R1) Positions Postdoc Positions Application Deadline 10 Aug 2026 - 20:00 (Europe/Paris) Country France Type of Contract Temporary Job Status Full-time Offer Starting Date 1 Dec 2026 Is the job
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. Such extremely high magnetic fields constitute a powerful tool for the study of condensed matter physics. In addition to the internal research performed by its staff, the LNCMI offers an access to its experiments
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are especially encouraged: (1) statistical mechanics, condensed-matter theory, quantum field theory; (2) tensor networks, quantum information, quantum algorithms; (3) machine learning, generative models, large