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Department of Computing Research Assistant (Ref. 251218004) [Appointment period: around three months] Duties The appointee will assist the project leader in the project - “Developing an LLM-based
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reviews; (b) develop and conduct writing tasks and questionnaires; (c) assist in data coding and basic data analysis; (d) assist in managing the project; (e) assist in preparing progress/final
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model development; and (d) possess a basic understanding of brain-inspired learning methods and Large Language Models (LLMs). Applicants are invited to contact Prof. Wu Yujie at telephone number 3400
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effects, including intermolecular forces, non-ideal interactions, and pressure-dependent phenomena; (c) develop and implement computational models and simulations to predict reaction rates and mechanisms
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assist the project leader in the research project - “A translational research on the development of evidence-based occupational therapy service in a mental hospital of the Mainland”. He/She will be
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self-driven, highly motivated, creative with excellent communication skills in written and spoken English and Cantonese. Expertise and knowledge in AI deep learning model development on histology whole
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will assist the project leader in the research project - “Development of Fe-based high-entropy alloys with superior mechanical properties”. Qualifications For the post of Postdoctoral Fellow, applicants
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assist the project leader in the research project - “Development of wireless motors and their applications”. Qualifications For the post of Postdoctoral Fellow, applicants should have a doctoral degree or
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analysis; (b) develop and implement algorithms for 3D perception (e.g. segmentation, localization and mapping); (c) design and execute experiments to evaluate, validate and refine algorithms and
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highly complex workflows. We aim to develop optimization models and algorithms to improve wafer processing sequences across semiconductor manufacturing tools, with the objectives of reducing cycle times