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(physique SUBAtomique et des TECHnologies associées) and the department SUBATECH. The scientific activities of this department are related to nuclear, hadronic, particle and astroparticle physics and
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. The successful candidate will be joining the Atomic Quantum Optics group led by Prof. Dr. Morgan Mitchell. Searches for new particles and forces using table-top experiments is an expanding frontier of fundamental
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at the Department of Physics are materials physics, nuclear physics and particle physics. In materials physics, the core research fields are the physics of nanomaterials and thin films, quantum matter and quantum
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of Barcelona; Particle Physics Phenomenology group. Main responsibilities / tasks: 1. Develop anomaly detection methods using Machine Learning and Simulation-Based Inference for high-dimensional parameter spaces
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(DLS) and laser diffraction granulometry, alongside the surface properties of the particles — notably their electrokinetic charge, hydrophobic/hydrophilic balance, and surface chemical composition (FTIR
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: Ithaca, New York 14850, United States of America [map ] Subject Areas: Physics / Elementary Particle Physics , Experimental High Energy Physics , Experimental Particle Physics Appl Deadline: 2026/02/16 04
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: Tenured/Tenure-track faculty Position Location: Beijing, Beijing, China [map ] Subject Areas: Physics / Condensed Matter Theory , Particle Theory , Physics , Scattering amplitudes , String Theory , String
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Research (NCCR) dedicated to advancing muon science across particle physics, quantum materials, and applications ranging from energy research to cultural heritage. Muoniverse brings together 30 research
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, Cosmology , Experimental or Theoretical Physics , GR-Cosmology (gr-qc) , Gravitational Physics , Gravitational Waves , hep , HEP-Phenomenology (hep-ph) , HEP-Theory (hep-th) , Particle/Cosmology Theory
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, vol. 167, p. 115644, Mar. 2025. https://doi.org/10.1016/j.microrel.2025.115644 [2] A. Bender, “A Multi-Model-Particle Filtering-Based Prognostic Approach to Consider Uncertainties in RUL Predictions