826 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "Université de Bordeaux " positions in Hong Kong
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high-quality research in one of the Department's key research areas: (i) Artificial Intelligence and Machine Learning; (ii) Big Data and Data Management; (iii) Computer Vision and Pattern Recognition
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demonstrate a strong combination of business acumen and technical expertise in AI and machine learning. Excellent organizational, communication, and interpersonal skills are essential. Experience in industry
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or related disciplines. A Doctoral/PhD degree will be an asset for consideration; Proven ability to teach in English for the courses/domains mentioned in the “Duties” section; Experience in providing academic
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magnets, topological order, quantum phase transitions beyond Landau-Ginzburg-Wilson paradigms, etc. The recent works of Prof. Meng and the group can be found at https://quantummc.xyz/publication. A highly
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Service-Learning and Leadership Office Service-Learning Officer (Temporary Appointment) (Ref. 251204014) [Appointment period: six months] Duties The appointee will be required to: (a) plan and
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Professor / Associate Professor / Assistant Professor / Research Assistant in Quantitative Marketing
inference, or machine learning techniques; and (ii) are open-minded and committed to teaching excellence at both undergraduate and graduate levels. Applicants for the Research Assistant Professor position
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successful completion of a contract. Further information about the Department is available at https://physics.hkust.edu.hk/ . Application Procedure Applicants should submit their application including CV
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to machine learning, data analysis, and software development; Assisting in the design of experiments, algorithm coding, and analysis of large datasets; Developing and maintaining websites and web applications
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: Candidates for open-rank positions should hold or be nearing completion of a Ph.D. in business analytics, operations research, operations/supply chain management, machine learning, artificial intelligence
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behavioral well-being, particularly among vulnerable populations. Applicants are encouraged to approach these topics from perspectives such as human-machine communication, mobile communication, and health