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- XIAN JIAOTONG LIVERPOOL UNIVERSITY (XJTLU)
- Duke Kunshan University
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/EXPERIENCE: Numerical machine leaning/Scientific Machine Learning are highly expected Preferred research directions: Numerical Optimization and Scientific Machine Learning. A PhD in Mathematics or Applied
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] Subject Areas: Computer Science / Artificial Intelligence , Artificial intelligence and machine learning , Artificial Intelligence, Machine Learning, Large Language Models , Artificial Intelligence/Machine
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Engineering and Systems Data Science / Computer Science , Machine Learning Appl Deadline: 2025/11/11 04:59 AM UnitedKingdomTime (making offers posted 2025/09/24 05:00 AM UnitedKingdomTime, listed until 2026
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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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: Computer Science, Operations Research, Data Science, Machine Learning and Artificial Intelligence, Statistics, Management Science, and other closely related areas. We especially encourage individuals whose interests
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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
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are not limited to: (1) Embodied AI and Machine Learning for Robotics; (2) Multi-Robot Systems; (3) Human–Robot Interaction; and (4) Robot Perception and Sensor Fusion. The selected candidate is expected
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to answer social scientific questions. The successful candidate will be expected to teach interdisciplinary courses in our Computation & Design major, including Computational Social Science, Machine Learning