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- XIAN JIAOTONG LIVERPOOL UNIVERSITY (XJTLU)
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Field
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] Subject Areas: Data Science Computer Science / Artificial Intelligence , Artificial intelligence and machine learning , Artificial Intelligence, Machine Learning, Large Language Models , Artificial
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. The school is aiming to become a world leading institution in industry and applied mathematics research. ROLE OVERVIEW The Associate Dean for Learning and Teaching (ADLT) is a key member of the senior
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: Unity, Unreal) Fundamentals of Machine Learning, data mining, and Big Data analytics Neuroscience for Education (EEG, EMG, GSR, EDA, HR, ST, RR, HRV, BPR, etc.) Image and video processing Technological
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Areas: Data Science / Computer Science , Machine Learning Computer Science / Artificial Intelligence , Computer Architecture , Embedded Systems, Edge Computing, and Mobile Computing Systems , Human
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+ AI framework, and the continued development of new academies to build an institutional ecosystem. With a focus on innovative learning and teaching, and research, XJTLU draws on the strengths of its
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, Operations Research, Data Science, Machine Learning and Artificial Intelligence, Statistics, Management Science, and other closely related areas. We especially encourage individuals whose interests and
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engineering, compiler, computer architecture, machine learning, artificial intelligence, human-machine interaction, and embedded systems. Candidates with interdisciplinary background (e.g., at the intersection
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are expected to have a Ph.D. in theoretical particle physics or related areas prior to the time of employment. Preferences will be given to those with experiences in collider phenomenology, machine learning
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postdocs, tenure-track positions, tenured positions, and positions for distinguished professorship. Candidates in areas including, but not limited to, Quantum Algorithms, Quantum Machine Learning, Quantum
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as an integrated analytical framework, we apply comparative risk assessment, disease modeling, machine learning, and survival extrapolation methods to systematically quantify the long-term impacts