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- City University of Hong Kong
- LINGNAN UNIVERSITY
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experience. Applicants who are in the process of completing a Ph.D. degree will also be considered. Desirable qualifications include physics deep learning, digital twin, smart and resilient infrastructure
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, Lingnan University is transforming into a hub for global leaders to develop and promote human-centric technology and social policies. Further information about Lingnan University is available at https
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nurture future leaders in the global entertainment and creative industries. The program is looking for Part-time Lecturer(s) to teach undergraduate course(s) in the following areas: Fundamentals
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projects related to children’s and adolescents’ mathematics and science learning. He/she will be responsible for literature review, preparation of assessment materials, liaising with external parties
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in Spring 2027. The successful candidate will be able to teach one of the undergraduate courses related to AI/ML, programming languages, data structures and algorithms, operating systems, network
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to begin in Spring 2027. The successful candidate will teach related undergraduate courses, with a strong preference for sports nutrition experience. Applicants must have a PhD in a relevant discipline, or
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performance and funding availability. The Common Core (https://commoncore.hku.hk/ ) is HKU’s distinctive form of General Education in which all undergraduates are required to take six interdisciplinary courses
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have an outstanding and consistent record of excellence in teaching and learning and/or knowledge exchange, services and administration. Preference will be given to those with demonstrated administrative
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, Lingnan University is transforming into a hub for global leaders to develop and promote human-centric technology and social policies. Further information about Lingnan University is available at https
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/Deep Learning: ML/DL model development (e.g., PyTorch, Lightning) for predicting antigenicity, genetic variation, and viral evolution. Genomics & Bioinformatics: Viral genome-based evolutionary analysis