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] Subject Areas: Statistics and Data Science(including Machine Learning, Actuarial Science, Mathematical Finance, Bioinformatics, Artificial Intelligence etc) Appl Deadline: none (posted 2025/10/13 05:00 AM
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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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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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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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China invites applications for a Professor / Associate Professor in Econometrics with a strong specialization in Machine Learning and Data Science. The appointment is expected to begin in August 2026
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that blend industrial design with advanced technologies. He/she will apply expertise in areas such as electronics/sensors technology, machine learning/programming, physical ergonomics/cognitive ergonomics
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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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FinTech or related fields, e.g., Computational Mathematics, Computer Science, Economics, Finance, Financial Engineering, Information Systems, Machine Learning, Mathematical Finance, Operations Research
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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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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