54 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"NOVA.id" positions at Hong Kong Polytechnic University in Hong Kong
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qualification. For all posts, applicants should have: (a) solid research background in the related areas such as IoT, wireless communication, machine learning, etc.; and (b) a high level of responsibility
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qualification. For all posts, applicants should have: (a) solid research background in the related areas such as IoT, wireless communication, machine learning, etc.; and (b) a high level of responsibility
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qualification. For all posts, applicants should have: (a) solid research background in the related areas such as IoT, wireless communication, machine learning, etc.; and (b) a high level of responsibility
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(NLP), topic modelling, or machine learning methods; and (e) have peer-reviewed publications aligned with tourism behaviour or mobility research. Applicants are invited to contact Dr Emily Chen
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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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an honours degree or an equivalent qualification. For all posts, applicants should have the strong background in materials engineering or machine learning and AI-related fields. Applicants are invited
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- “Deep learning-based approach for process parameter optimization of SiC wafer under limited data”. He/She will carry out research in the area of machine learning (ML) and data science, and also be
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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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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