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Field
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FieldPhysicsYears of Research ExperienceNone Additional Information Eligibility criteria - PhD in Physics with strong interest for experimental physics. - Expertise in one of the followings: laser-plasma accelerators
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Mitigation Accelerated by Photons group led by Prof. Dr. Pelayo García de Arquer is searching for exceptional researchers, with an excellent proven track record, to work at the interface of materials science
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, for example induced by tidal forces. To this end, it will be necessary to integrate polarimeters, using the Compton process, for each beam. The Accelerator Pole ILE group is involved in their design and plays a
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the groups of Dr Joe Forth, Dr Anthony Bradley, and Project Lead Professor Steve Rannard, applying your expertise in machine learning, cheminformatics, and soft materials to accelerate LAT design and
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Collection — Plan, prepare, and execute nuclear physics experiments measuring statistical nuclear properties (e.g., nuclear level densities, gamma-ray strength functions) at accelerator facilities, ensuring
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stability (beam break-up). The Grenoble Laboratory of Subatomic Physics and Cosmology (LPSC) ( http://lpsc.in2p3.fr ) is a mixed research unit associating CNRS-IN2P3, Grenoble Alpes University (UGA) and
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fully autonomous materials discovery platform. Our lab operates at the intersection of materials science, robotics, and physical AI to accelerate green energy research. The autonomous platform screens
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/he will also participate to studies related to an electromagnetic calorimeter, GRAiNITA, designed for the future FCC-ee experiments. The candidate will in addition participate to physics analyses with
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accelerator design, verification, and physical implementation using open-source tools. Explore architecture-algorithm co-design for machine learning and AI acceleration. Perform performance, power, and area
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reconstructions from classes [1,2]. This postdoctoral position will primarily focus on the development of AI tools to accelerate MDSPACE, enabling rapid atomic-scale determination of complete conformational