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- XIAN JIAOTONG LIVERPOOL UNIVERSITY (XJTLU)
- CDUTCM-Keele Joint Health and Medical Sciences Institute in China
- Harbin Engineering University
- Central China Normal University
- Hong Kong University of Science and Technology(Guangzhou)
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- TAIPEI MEDICAL UNIVERSITY (TMU)
- The Hong Kong University of Science and Technology (Guangzhou)
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from 2027. Phase-II will feature more advanced facilities, providing an exceptional environment for research, learning and residential life. HKUST(GZ) introduces a groundbreaking “Hub-Thrust” academic
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Expertise: Familiarity with supervised/unsupervised learning (regression, classification, clustering), ensemble methods, and deep learning architectures (CNNs, RNNs). Experience with explainable AI (e.g
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and Applications, R Language for Statistics, Data Mining with Big Data, Artificial Intelligence and Deep Learning, Statistical Reasoning for Business Decisions, Data Visualization; Highly Desired: Text
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-- Deep learning for nuclear physics -- Effective field theory for nuclear structure -- Hard Probes of Quark-Gluon Plasma -- Hot and cold lattice QCD -- Physics in electron-ion collisions -- Relativistic
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Research, or a related field. Solid research background and practical experience in one or more of the following areas: Reinforcement Learning / Deep Reinforcement Learning Fine-tuning and Application
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on establishing a high-quality international education platform, blending Eastern and Western educational practices to create a globally recognized learning environment. In the XJTLU 2.0 phase, the University
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, Chengdu, China. The ideal candidate will be an academic leader with deep knowledge of the UK higher education system, a strong background in the health sciences industry, and a proven experience to bridge
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/Senior Lecturers have a deep understanding of subject-specific expertise combined with the ability to engage and inspire students. We have multiple openings, and these will be permanent contracts. UCA
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(Taicang) nationally and internationally. Responsibilities and Duties We are looking for future colleagues in all fields of computer science, data science, artificial intelligence, machine learning, deep
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experience in one or more of the following areas: Reinforcement Learning / Deep Reinforcement Learning Fine-tuning and Application of Large Language Models Time-Series Data Prediction and Modeling Intelligent