170 distributed-algorithm-"Prof" positions at Hong Kong Polytechnic University in Hong Kong
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qualification; (b) strong background in extensive model optimisation on machine learning algorithm; and (c) good communication skill in English. Applicants are invited to contact Prof. Kay Chen Tan
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- “Research on methods for distributed workshop scheduling considering loading efficiency”. Qualifications Applicants should: (a) have an honours degree or an equivalent qualification; (b) have experience
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-modal fusion techniques for localization and mapping; (b) develop and implement algorithms for autonomous robots; (c) design and execute experiments to validate and refine algorithms and systems; (d
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- “Data-driven algorithms for multi-product inventory systems with non-stationary demand”. Qualifications Applicants should have:- (a) a doctoral degree, preferably in the area of operations management
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computing such as large language models, distributed computing, and Data science. Applicants with experience in C/C++/Golang or KDB/Q or DDD/Eventsourcing/CQRS are strongly preferred. Applicants are invited
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in algorithms development and refinement; (b) a good command of both written and spoken English; and (c) at least two first-authored publications. Preference will be given to those with: (a
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Prof. Li Lei at telephone number 3400 3418 or via email at leihk.li@polyu.edu.hk for further information. Conditions of Service A highly competitive remuneration package will be offered. Consideration
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are invited to contact Prof. Liu Wu at telephone number 2766 7387 or via email at wu.liu@polyu.edu.hk for further information. Conditions of Service A highly competitive remuneration package will be offered
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given to those with research experience in drone delivery optimization, machine learning, reinforcement learning and operation research. Applicants are invited to contact Prof. Siyuan Feng at telephone
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background in satellite navigation research. Preference will be given to those with experience in GNSS integrity. Applicants are invited to contact Prof. Yiping Jiang at telephone number 3400 8063 or via email