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; Level 2 if results are obtained from 2007 onwards), Chinese Language (Level 2 if results are obtained from 2007 onwards) and Mathematics; or a combination of results in five HKDSE subjects of Level 2 in
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Engineering with a strong background in mathematics and programming. Applicants are invited to contact Prof. Wen Weisong at telephone number 3400 8234 or via email at welson.wen@polyu.edu.hk for further
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background in mathematics and programming. Applicants are invited to contact Prof. Wen Weisong at telephone number 3400 8234 or via email at welson.wen@polyu.edu.hk for further information. Conditions of
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the project leader in the research project - “Drone system and offshore wind turbines inspection”. Qualifications Applicants should have an honours degree in Engineering with a strong background in mathematics
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representation methods for accelerated inverse design Large language, diffusion & graph neural models for materials discovery Fine tuning and architecture optimisation of foundation models Inverse design of next
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training or education; Ability to bridge theory and practice by engaging with industry practitioners and academic peers; Good command of written and spoken Chinese (Cantonese) and English. A highly
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, preferably a doctoral degree in the area of operations management/operations research, with at least three years of research/relevant work experience; and (b) solid mathematical background. Applicants
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or an equivalent qualification. For all posts, applicants should also: (a) have solid experience in electric machines, finite element methods and theory of electromagnetic files; and (b) be able to complete
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Areas: Applied Optimization and Operations Research / Data Science and Analytics / Applied Statistics and Financial Mathematics / Engineering and Computational Mathematics / Mathematical Science Appl
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Mathematics; or a combination of results in five HKDSE subjects of Level 2 in New Senior Secondary subjects/“Attained” in Applied Learning subjects/Grade E in Other Language subjects, and the five subjects must