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Computing lattice gauge theory High-Performance Computing Quantum Machine Learning Nuclear astrophysics High Energy Physics Appl Deadline: 2026/07/31 11:59PM (posted 2025/11/19, listed until 2026/07/31
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mission. The successful candidates will provide the intellectual vision and academic direction to elevate their disciplines, ensuring they remain at the forefront of innovation, relevance, and scholarly
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] Subject Areas: Quantum Computing Lattice QCD and Heavy Ion Physics Nuclear Physics High Energy Astrophysics Quantum Field Theory (more...) lattice gauge theory High-Performance Computing Lattice Field
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established Visual Communication programme integrates design, technology, research, and is building a world-class team of designers, artists, and interdisciplinary scholars. The programme emphasizes: 1. Cutting
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budget and resources. The Head is also responsible for developing and executing the Thrust’s strategic plan, ensuring its goals are aligned with the University’s overall mission and vision. The successful
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the discipline; 3. We seek candidates with demonstrated academic leadership and reputation, a record of outstanding achievement, and strategic vision for discipline development; 4. Ideally, under 40 years of age
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, an innovative research vision, and a commitment to education. FST is the oldest and one of the most vibrant faculties at UM, dedicated to student-centric education and cutting-edge research in engineering and
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professionals with global vision. According to the approval by the Administrative Board, and the Teaching Staff Charter of Macao Polytechnic University, applications are invited through open recruitment for full
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BUSINESS SCHOOL SUZHOU (IBSS) International Business School Suzhou (IBSS) at Xi'an Jiaotong-Liverpool University is growing in size and influence in pursuit of its vision to be a leading international
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(normally PhD) degree in electrical and electronics, mechatronics, intelligent controls, robotics engineering, computer science, artificial intelligence, computer vision, mobile robotics, machine learning