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project – “Universal time-series foundation model bridging power electronics reliability monitoring and grid-edge sensing” Qualifications Applicants should have: (a) a doctoral degree or an equivalent
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project – “AI-enhanced physics for advancing reliability validation in power electronics” Qualifications Applicants should have: (a) a doctoral degree or an equivalent qualification and must have no
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academic papers; (c) the ability and a good understanding of conducting data analysis; (d) an excellent command of spoken English; and (e) the ability to work independently and meet the work
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) hands-on experience in conducting experiments, data collection, and/or data processing and analysis or strong programming skill; and (c) the ability to assist in system and software development
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for the Senior Research Fellow post should have a PhD degree in Computer Science, Artificial Intelligence, Data Science, Digital Economy or a related field plus at least six years of postdoctoral research
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-on skills, with some project development or experimental experience, and the ability to participate in algorithm design, validation, and system integration; (d) proficiency in Python, C#, C++ or other
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phenomena; and (e) demonstrated ability to publish research findings in high-impact international journals. Applicants are invited to contact Miss Samantha M. S. Sin at telephone number 3400 2543 or via
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systems; (d) assist in publishing research findings in peer-reviewed journals and making presentation at conferences; and (e) collaborate with a multidisciplinary team of researchers and industry
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Department of Industrial and Systems Engineering Postdoctoral Fellow / Research Associate (Full-time/Part-time) / Research Assistant (Full-time/Part-time) (Ref. 251127007) (1) Postdoctoral Fellow
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conferences / journals; (b) assist in conducting literature review, data analysis and drafting; (c) draft research-related reports and grant proposals; (d) assist in research team organization and