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machine learning-enhanced algorithm incorporating domain knowledge for sustainable maritime transport”. Qualifications Applicants should have: (a) an honours degree, preferably in mathematics, logistics
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) write code and conduct research on causal reasoning, bias mitigation and interpretability in Large Language Models (LLM); (b) design and implement algorithms or frameworks for enhancing
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the throughput and reliability of Low-Power Wide-Area Networks; (b) implement algorithms and carry out performance evaluation; and (c) perform any other duties as assigned by the project leader, the Head of
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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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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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including Cantonese; and (d) the ability to work independently and meet the work schedule. Applicants are invited to contact Prof. Junnan Yu at telephone no. 2766 6830 or via email at junnan.yu
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project - “Research on methods for distributed workshop scheduling considering loading efficiency”. Qualifications Applicants should: (a) have an honours degree or an equivalent qualification; (b
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to communicate well with students; (d) an excellent command of spoken English; and (e) the ability to work independently and meet the work schedule. Applicants are invited to contact Prof. Sky T. T. Lo
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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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others, work independently and meet the work schedule. Applicants are invited to contact Dr Aria C.H. Yang at telephone no. 2766 5450 or via email at aria.yang@polyu.edu.hk for further information