53 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions at Hong Kong Polytechnic University in Hong Kong
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The appointee will assist the project leader in the research project - “MLFF-agent: autonomous discovery of machine-learning force field with large language model”. He/She will be required to: (a) be the
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application; (b) experience in conducting human neuroscience research and/or be proficient in computer programming, e.g. Matlab and Python; (c) a good command of both written and spoken English; and (d
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posts should: (a) also have expertise in operations research, operations management, power grid and mobility; and (b) have expertise in data analysis, computer programming and using commercial
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Department of Computing Research Assistant (Ref. 260114018) [Appointment period: six to twelve months] Duties The appointee will assist the project leader in the research project - “KCube learning
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experience in conducting research in ultra-precision machining field, especially in polishing or surface/subsurface characterization; and (c) demonstrated by publication in top-tier journals. Applicants
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English and Chinese, with fluency in Putonghua; (d) have proficiency in computer skills, including but not limited to MS Word, Excel, PowerPoint and Adobe Acrobat; (e) have good interpersonal
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reinforcement learning; (c) lead pre-training initiatives for both dense and MoE (Mixture of Experts) LLMs, with a focus on performance optimisation, scalability, model architecture design and adaptability
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School of Design Part-time Research Assistant (Ref. 260113002) [Appointment period: twenty-four months] Duties The appointee will assist the project leader in the project - “Learning in motion: Real
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of artificial intelligence in language teaching and learning. He/She will be required to: (a) conduct independent and collaborative research on individual differences and second language acquisition; (b
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[Appointment period: six months] Duties The appointees will assist the project leader in the research project - “Digitalization and marketing innovation in the Chinese automobile industry”. Qualifications