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Optical Physics (AMO), beginning in Fall 2026. The Department of Physics hosts active research groups in astronomy & astrophysics, nuclear & particle physics, biophysics, cognitive neuroimaging, condensed
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About the role Applicants are invited to apply for a postdoctoral Research Associate role in the field of theoretical condensed matter physics and the quantum many-body physics of ultracold polar
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are encouraged to apply: Experimental condensed matter physics, cosmology and astrophysics, particle astrophysics and dark matter, high energy, atomic, pulsar and biophysics; theoretical cosmology, condensed
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: Tenured/Tenure-track faculty Position Location: Beijing, Beijing, China [map ] Subject Areas: Mathematics / Physics Physics / Condensed Matter Theory , High Energy Theory , Mathematical Physics , Particle
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Sorbonne Université SIS (Sciences, Ingénierie, Santé) | Paris 15, le de France | France | about 8 hours ago
motivated. Fundamental knowledge of condensed matter physics. Knowledge of surface physics and diffraction is a plus. Additional Information Work Location(s) Number of offers available1Company
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Sorbonne Université SIS (Sciences, Ingénierie, Santé) | Paris 15, le de France | France | about 8 hours ago
Specific Requirements Strong background in materials physics, condensed matter physics or solid state chemistry. Experimental skills in the laboratory, data acquisition and analysis. Autonomy, good
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to validate and enhance research outcomes. Job Requirements: PhD in physics, chemistry, materials science or related field. Technical experience in quantum chemistry, condensed matter physics, theoretical
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of Chemistry Research Topics: Quantum Physics, Condensed Matter, Ultrafast Imaging, X-Ray Science, Nanosciences, Structural Biology Financial support Yes Structured research and supervision Yes Research training
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: Experimental condensed matter physics, cosmology and astrophysics, particle astrophysics and dark matter, high energy, atomic, pulsar and biophysics; theoretical cosmology, condensed matter, mathematical, and
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strengths in experimental soft condensed matter physics or biophysics research within the department. Candidates with expertise in computational physics, including machine learning, applied to study soft