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research directions include: Reversible material representation methods for accelerated inverse design Large language, diffusion & graph neural models for materials discovery Fine tuning and architecture
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://www.LN.edu.hk/philoso/ . Requirements The Department seeks to appoint a Research Assistant Professor who can either teach a specialized course in Set Theory or effectively cover existing departmental courses
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seeks to appoint a Research Assistant Professor who can either teach a specialized course in Set Theory or effectively cover existing departmental courses to enable a current colleague to teach the Set
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primary computational lead of the project, focusing on Density Functional Theory (DFT) simulations to investigate the interactions between carbon quantum dots and polysulfides; (b) apply and develop
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Information Modeling (BIM), including Revit, IFC, ifcopenshell, compliance checking, design generation, and design checking; and Experience in AI and LLM-related development, including RAG, knowledge graph
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Post-doctoral Fellow/Senior Research Assistant in the Centre for Information Technology in Education
/or learning analytics for teacher learning and pedagogical innovation. Familiarity with theory and pedagogical implementation of digital literacy and AI literacy in the curriculum, and leadership
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materials, topological physics (theory), nanofabrication, ultrafast optics an excellent command of written and spoken English good interpersonal, communication, organizational and problem-solving skills
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Requirements a Ph.D. degree in Physics or a related discipline Strong background in one or more of the following areas: integrated photonics, 2D materials, topological physics (theory), nanofabrication
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) Teaching experience in some the following subjects: theory, history, and methods of media and creative industries; comparative cultural policy in East Asia; Hong Kong creative and media industries; new
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Post-doctoral Fellow/Senior Research Assistant in the Centre for Information Technology in Education
strong background in technology-enhanced learning and assessment, learning design and/or learning analytics for teacher learning and pedagogical innovation. Familiarity with theory and pedagogical