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, preference will be given to those with strong Python/programming and research skills, and experience in graphs/ontologies, machine learning, optimisation/control, time-series forecasting, BMS/HVAC, PV or ESS
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disciplines with at least three years of research/relevant work experience; (b) have experience in computer/IT applications for teaching and learning, and/or mobile application content management; (c
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., LangChain, AutoGen, Unity ML-Agents); and (e) experience in integrating AI/machine learning models with web applications or game engines. Applicants are invited to contact Dr Zackary P. T. Sin at telephone
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visualisation skills, the ability to present abstract concepts in an accessible way to all organisational levels and to acquire new statistical techniques by self-learning. They should be responsible, mature
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academic administration. The appointee will be responsible for delivering high-quality teaching and learning at both undergraduate and postgraduate levels. Key duties will include: Delivering high-quality
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climate challenges and drive sustainable solutions. We are committed to fostering an environment of learning, innovation, and impact. Applicants should possess an undergraduate degree in business, social
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project - “Transforming concepts into practice: Novel approaches to fall prevention and rehabilitation in older adults using motor learning-based strategies”. Qualifications Applicants should have an
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metabolomics datasets. Candidates should be experienced in molecular docking and virtual‑screening pipelines, alongside machine‑learning and deep‑learning frameworks for pathogen detection, drug‑target
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staff and volunteers. Duties will include developing teaching and learning materials; facilitating interactive and practice-oriented learning activities; providing guidance and support to trainees; and
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knowledge-embedded platform with learner- and AI-generated content for self-learning”. Qualifications Applicants should have five passes in HKCEE including English Language (at least Grade C if Syllabus A