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skills in qualitative research methodology, including experience conducting interviews, focus groups, and thematic analysis Possess technical skills in AI/machine learning, software development
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proficiency in machine learning, statistical modeling, and data analysis using Python, R, or similar platforms. Experience in grant proposal writing, scholarly manuscript preparation, and psychological
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Department is available on the departmental website at www.polyu.edu.hk/hti/ . We are looking for a highly motivated personnel with expertise in bioinformatics, neuroimaging, machine learning, mental health
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to formulate mathematical models of the problems and develop efficient solution methods, particularly by leveraging techniques from machine learning and operations research. b) The applicants are expected
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Science, or an equivalent qualification; (b) experience in field measurements of food waste, bioconversion and machine learning modelling; (c) strong analytical and problem-solving skills, with
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of Artificial Intelligence (AI) into higher education. The appointee will play a key role in advancing PolyU’s strategic initiatives in digital transformation, teaching innovation and AI-enabled learning. Key
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wearable sensing devices and human-computer interaction systems; and (d) be able to fabricate multi-material and multi-functional magnetic fibers to construct a fiber-based actuating system for a wearable
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of permanent magnet machines and control systems. Applicants are invited to contact Prof. Z.Q. Zhu at telephone number 2766 6257 or via email at z.q.zhu@polyu.edu.hk for further information. Conditions of
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and energy materials. Preference will be given to those with knowledge of computer programming, AI and/or machining learning. Applicants are invited to contact Prof. Jianguo Lin at telephone number 2766
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) have strong knowledge of and background in electromagnetic device design, power electronics and machine learning; (c) have hands-on experience in electrical and electronic engineering; (d) have