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- “Research on methods for distributed workshop scheduling considering loading efficiency”. Qualifications Applicants should: (a) have an honours degree or an equivalent qualification; (b) have experience
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proficient in Python and at least one deep learning framework (PyTorch/TensorFlow/JAX); (b) be familiar with distributed training frameworks such as Hugging Face Transformers, DeepSpeed and Megatron-LM; (c
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implementation; b) monitor the project implementation details; c) develop control algorithms and digital twin models; d) guide prototype development and laboratory testing; e) analyse test data and
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) lead market analysis, requirements gathering, and conceptual design; (b) optimise electromagnetic design of motor through simulations; (c) develop control algorithms and models; (d) guide
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publication track record. The appointee will work on projects of ASIAR at the Institute with ASIAR’s team of postdocs and research assistants. He/She will work under Prof. David A. Palmer’s direct supervision
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learning or deep learning research project; (b) evaluate the proposed algorithms; and (c) conduct a real-case analysis. Qualifications For the Research Fellow post, applicants should have a doctoral
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by the Division of Artificial Intelligence. The teaching load will be two courses per year, distributed according to the needs of the Institute and upon mutual agreement. English will be the medium
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a Curriculum Vitae with a publication list to her/his prospective principal investigator via respective emails. The subject line of the email should be 'Postdoc-HKUST’. We are not accepting
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lectures aimed at the general public); and (7) managing/updating the project website. The teaching load will be one or two courses per year, distributed according to the departmental needs. English will be
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Intelligence/ LEO Dr. David P. Chan Institute of Data Science. The teaching load will be two courses per year, distributed according to the needs of the Institute and upon mutual agreement. English will be