79 post-doc-machine-learning "https:" Fellowship positions at Hong Kong Polytechnic University
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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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challenge issues, using advanced machine learning models and necessary techniques; (d) evaluate and validate the performance of proposed methods and algorithms through theoretical analysis; (e) maintain
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-inspired learning algorithms for efficient, robust and scalable pattern recognition; (b) assist in general management of the project; and (c) perform any other duties as assigned by the project leader
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in the research project – “Self-paced learning platform powered by efficient graph retrieval-augmented generation”. Qualifications Applicants for the Postdoctoral Fellow posts should have a doctoral
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Department of Industrial and Systems Engineering Postdoctoral Fellow / Research Associate / Research Assistant (Full-time/Part-time) (several posts) (Ref. 260205011) [Appointment period: each for
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, Social Sciences, Public Health or other related disciplines or equivalent qualification and must have no more than five years of post-qualification experience at the time of application; (b) have
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School of Design Postdoctoral Fellow (Full-time/Part-time) (several posts) (Ref. 260205005) [Appointment period: each for three to six months initially, with possibly of further appointment
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Department of Industrial and Systems Engineering Postdoctoral Fellow (four posts) (Ref. 260107003) [Appointment period: each for twelve months] Duties The appointees will assist the project leader
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relevant discipline, and must have no more than five years of post-qualification experience at the time of application. (b) substantial experience in managing educational activities and conducting
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. For the post of Research Assistant, applicants should have an honours degree or an equivalent qualification. For both posts, applicants should have relevant research experience in ultra-precision machining