93 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"CEA-Saclay" positions in Hong Kong
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. More information about the Faculty can be found at https://web.edu.hku.hk/ . The Positions We now invite applications for appointment as Professor/Associate Professor/Assistant Professor in Learning
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as a research-led comprehensive university through upholding the highest international standards of excellence in its research pursuits, scholarship, teaching and learning, and service to the community
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Ref.: 533588 Work type: Full-time Department: Teaching and Learning Innovation Centre (47500) Categories: Senior Research Staff & Post-doctoral Fellow, Research Staff Post-doctoral Fellow/Senior
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for the Postdoctoral Fellow post should have a PhD degree in Computer Science, Electrical and Computer Engineering or a related discipline or an equivalent qualification and must have no more than five years of post
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Duties Provide academic and personalised support to the students under the Student-Athlete Learning Support and Admission Scheme; Plan, coordinate, and organise local and non-local student
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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
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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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- “The structural evolution of the Chinese aviation network during and after the pandemic: a machine learning-based approach”. He/She will be required to: (a) be responsible for collection, cleaning, integration
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advanced machine learning. Applicants are invited to contact Dr Yan Wang via email at yanjack.wang@polyu.edu.hk for further information. Conditions of Service For full-time appointment, a highly
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performance simulation software (e.g. EnergyPlus, CFD, COMSOL) as well as in programming languages like Python and familiarity with AI/machine learning frameworks (e.g. PyTorch, TensorFlow). Applicants