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the data from HEP experiments is strongly required Programming expertise in Python and either PyTorch or TensorFlow is required Experience using High-Performance Computers (HPCs) is preferred Ability
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Position Location: Tsukuba, Ibaraki 305-0801, Japan [map ] Subject Area: High Energy Physics / Flavor Physics Salary Range: Base annual salary: 5,500,000 JPY Appl Deadline: 2026/02/14 02:59 PM
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required. Access to such high-energy X-rays enables larger penetration depths and the investigation of materials under highly absorbing or extreme conditions. Achieving these capabilities is essential
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Song, and Josephine Suh. For more information, visit https://het.kaist.ac.kr The initial appointment is for two years and is extendable for one extra year upon performance review and funding situation
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; hadron and nuclear physics as well as the council of German observatories (https://erumdatahub.de/en/erum-communities/ ). About your role: Team up with experts in the ErUM domain and perform the transfer
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/188/25] Duties The appointee shall fully engage in research that leads to high-quality research output and acquisition of research grants, and perform any other duties as assigned by the Head of
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have access to the state-of-the-art general relativistic radiative particle-in-cell code Zeltron, and to high-performance computing facilities at the French and European levels. IPAG is a major French
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Paulo state, Brazil, in the area of compilers, runtimes, and High-Performance Computing, focusing on the convergence of HPC and Artificial Intelligence. The project will develop runtime optimizations and
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Physics; X-ray Spectroscopy; Electronic Structure; Ultrafast Dynamics , Condensed Matter Theory , Hard Condensed Matter Theory , High-temperature superconductivity , Quantum Condensed Matter Theory
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Postdoctoral position in the development of an AI-based phenotyping system for high-throughput sc...
performances on pea plants. The position is available from the 1st ofNovember 2026 or as soon as possible therefter. Job description The aim of the project is to develop an AI-based phenotyping system for high