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optimization algorithms for both estimation and inference. Special emphasis is placed on advancing statistical approaches to address the demands of increasingly complex, high-dimensional, and unconventional data
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and benchmarking atomic qubit architectures. · Collaboration: Work closely with experimentalists to design and optimize protocols for qubit manipulation, gate operations, and system scalability. 2
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teams to integrate AI and machine learning techniques into lattice field theory frameworks. - Engage in large-scale numerical simulations, performance analysis, and optimization using state-of-the-art
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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
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is jointly run by the XJTLU Technology Transfer Centre Co., Ltd. (XTTC) Postdoctoral Work Station (based at XJTLU) and a cooperating Mobile Station (normally a Chinese state university). XTTC is a