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Field
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computational research in accelerator science and technology. The focus is on developing and applying machine learning (ML) methods for accelerator operations and beam-dynamics optimization in advanced
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primarily contribute to the Intelligent Energy Systems program within the Electrical Energy Systems group. Where to apply Website https://www.academictransfer.com/en/jobs/354897/postdoc-in-quantum
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, and measure success. Basic Qualifications: A PhD in Theoretical Physics or a related discipline completed within the last 5 years. Experience with High Performance Computing and programming
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of Orthopaedics and Sports Orthopaedics and the Institute for AI and Informatics in Medicine. We work at the intersection of artificial intelligence, medical imaging, and clinical practice, developing methods
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to events, research meetings, and grant applications; Collaborate in team science with other researchers. What do you have to offer Your experience and profile: A PhD degree in communication science
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21 Aug 2025 Job Information Organisation/Company MOHAMMED VI POLYTECHNIC UNIVERSITY Research Field Computer science Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Country
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2 Oct 2025 Job Information Organisation/Company Ghent University Research Field Computer science » Other Economics » Business economics Economics » Other Researcher Profile Recognised Researcher (R2
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, California 94305, United States of America [map ] Subject Areas: Applied Physics Chemistry Materials Science Quantum Optics Computer Science (more...) Quantum Gravity quantum gravity/quantum cosmology Quantum
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discover how Artificial Intelligence is transforming tongue cancer surgery? Join our innovative PhD program at the Netherlands Cancer Institute and make real impact by helping surgeons to achieve more
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 4 hours ago
interpretable artificial intelligence to improve prediction accuracy while ensuring biological interpretability. The candidate will contribute to building computational frameworks that integrate diverse imaging