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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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-qualification experience at the time of application; (b) strong background in SLA theories and methodologies; (c) proficiency in quantitative and qualitative research methods; (d) demonstrated ability
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representation methods for accelerated inverse design Large language, diffusion & graph neural models for materials discovery Fine tuning and architecture optimisation of foundation models Inverse design of next
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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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, Hong Kong [map ] Subject Areas: Physics / Cosmology , GR-Cosmology (gr-qc) , Gravitational Physics , HEP-Phenomenology (hep-ph) , HEP-Theory (hep-th) , High Energy Physics , Particle Physics , Particle
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: Condensed Matter Physics / Condensed Matter Physics, Electronic Structure, Strongly Correlated Materials , Condensed Matter Theory , condensed matter theory; ultracold quantum gases , Strongly Correlated
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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