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- XIAN JIAOTONG LIVERPOOL UNIVERSITY (XJTLU)
- UNIVERSITY OF MACAU
- UNIVERSITY OF NOTTINGHAM NINGBO CHINA
- Duke Kunshan University
- Beijing Institute of Mathematical Sciences and Applications
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- 湘潭大学
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has over 3,621 Chinese and international students with around 894 enrolled in postgraduate programmes including PhD programme. We have a diverse international faculty of 111, based in Ningbo China
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, blending Eastern and Western educational practices to create a globally recognized learning environment. In the XJTLU 2.0 phase, the University expanded its scope by enhancing research capabilities
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team player; Proactive and flexible but with good respect for deadlines; Able to work in an environment where diversity and inclusiveness is appreciated ESSENTIAL QUALIFICATIONS/EXPERIENCES A PhD or MFA
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Communications and networking). As a research and practice-led school our faculty and staff are committed to providing our students with a challenging and stimulating environment, as well as unlocking their full
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on date of birth and date of receiving the PhD degree, research statement, publication list, and at least three reference letters. The deadline is January 10, 2026 and applications received before this date
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control software for scalable qubit architectures. Qualifications · For Theorists: o PhD in quantum information, theoretical physics, computer science, or related fields. o Strong background in quantum
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. Close collaboration with Lattice Parton Collaboration is envisioned. SJTU is a national key university directly under the Ministry of Education and jointly built with Shanghai Municipality. TDLI and INPAC
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benefits includes a competitive salary and a settling-in allowance, ample research start-up funding, a conducive research environment, eligibility for PhD enrollment, generous office space allocation
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ability in AI and machine learning DESIRABLE QUALIFICATIONS/EXPERIENCE: A PhD degree completed in an English and highly international academic environment Postdoctoral experience from highly reputable
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, treatment planning, and patient care. The research will involve data collection and preprocessing, model architecture design, pre-training and fine-tuning, evaluation and benchmarking, and model optimization