17 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Iscte-IUL" Fellowship 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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-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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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
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State Key Laboratory of Ultra-Precision Machining Technology Postdoctoral Fellow (Ref. 260119001) [Appointment period: six months] Duties The appointee will assist the project leader in the research
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State Key Laboratory of Ultra-Precision Machining Technology Postdoctoral Fellow (Ref. 260119002) [Appointment period: ten months] Duties The appointee will assist the project leader in the research