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applied accelerator-based research, and particle physics on the physics of the strong interaction and ultrarelativistic heavy-ion collisions, particle cosmology and neutrino physics. Starting January 2026
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• Machine Learning applied to physics — good to confirmed level • Materials thermodynamics — good level • Experimental data analysis (forces, fields, imaging) — good level • Scientific programming (Python
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Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UMR5672-DAVCAR-002/Default.aspx Requirements Research Field Engineering Education Level Master Degree or equivalent Research Field Physics
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levels in the areas of, but not limited to, introductory physics, elementary physics, astrophysics, applied physics, condensed matter, or high energy particle physics. The campus is especially interested
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levels in the areas of, but not limited to, introductory physics, elementary physics, astrophysics, applied physics, condensed matter, or high energy particle physics. The campus is especially interested
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Science and Engineering & Applied Physics, and Mechanical Engineering. More information about the PSE Division is available at https://pse.kaust.edu.sa. Qualifications • Ph.D. degree. • Track record
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publications and presentations About you: PhD in physics, applied physics or a related field Sound knowledge of Fourier optics, X-ray physics, and metrology Experience in experimental methods or development of
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skilled researchers who want to revolutionize particle physics. At Fermilab, you will have the opportunity to develop and apply new AI/ML techniques to unique experimental datasets and designs
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Division of Physics and Applied Physics. The key objective is to support efforts to advance cutting-edge research and graduate education in mathematics, physics, and interdisciplinary scientific fields
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4 Sep 2026 Job Information Organisation/Company CNRS Department Laboratoire d'Electrochimie et de Physicochimie des Matériaux et des Interfaces Research Field Chemistry Physics Technology Researcher