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Stanford University, Kavli Institute for Particle Astrophysics and Cosmology Position ID: Stanford -KIPAC -FELLOWS [#30510] Position Title: Position Type: Postdoctoral Position Location: Stanford
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, Korea, The Republic of [map ] Subject Area: Physics / Particle Appl Deadline: 2025/08/06 11:59PM (posted 2025/07/07, updated 2025/07/06) Position Description: Apply Position Description Korea Institute
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following areas would be ideal candidates: (1) Quantum matter (2) Particle & Nuclear Physics and Cosmology (3) Soft Matter, Chemical & Biological Systems (4) Pure & Applied Math & Theoretical Science
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of particle and astro-particle physics Analyse and interpret research findings and results Contribute to generating funding Main Duties The responsibilities may include some but not all of the list outlined
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and interactive environment. Candidates would be able to interact with a number of related faculty in theoretical physics (including cosmology, particles and fields, gravitation theory, and artificial
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holes , Computational Astrophysics , Cosmology , Dark Matter , Experimental Astrophysics , Galaxy Formation , High Energy Astrophysics , Numerical Astrophysics , particle astrophysics , Theoretical
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focused on providing security for LLM operation (in particular, definition of access privileges to data or tools, and output filtering mechanisms), including particularly relevant industry activities (e.g
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experimental research programs in Atomic Physics, Biophysics, Condensed Matter Physics, Cosmology & Gravitation, High Energy Physics, and Particle Astrophysics. Applicants are encouraged to discuss the potential
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Maria de Maeztu . All positions are funded for up to 3 years. The three scientific profiles are as follows: Position in Beyond the standard models of cosmology and particle physics Position in
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Laboratoire de Physique des Interfaces et des Couches Minces (LPICM), UMR CNRS/École Polytechnique, | Palaiseau, le de France | France | 7 days ago
, liquid crystals, and spectral filters. Developing a user-friendly calibration system for clinicians. Testing and optimizing the MPC in vivo under real conditions. Contributing to image post-processing