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experience at the time of application; (b) have experience in InSAR applications for landslides and reclamations, PolSAR/PolInSAR for vegetation mapping, finite element analysis, numerical simulation, machine
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the project leader in the research projects - “The job characteristics and well-being of personal care workers in Hong Kong’s residential care homes of the elderly: A mixed-methods study”, “Unraveling the well
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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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machine learning methods, particularly large language models (LLMs), to marketing research. Applicants are invited to contact Prof. Edward Lai at telephone number 2766 7141 or via email at edward-yh.lai
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Assistant (two posts) [Appointment period: each for twenty-four months] Duties The appointees will assist the project leader in the research project - “Metal forming technologies and numerical modelling
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four months] Duties The appointees will assist the project leader in the research project - “Transition metal phosphide-graphene aerogel composite electrode enabled electrocatalytic production of green
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) strong background in quantitative methods, statistics, computer science, geospatial data analysis and modeling; (b) experience in AI and geospatial computer version; (c) advanced skills in scientific
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research using methods such as sensing technique, 3D printing, human-computer interaction, simulation, and/or machine learning to address challenges in machinery motion planning and construction safety
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The appointees will assist the project leader in the research project - “Enhancing robotic learning with 3D multimodal large language models (MLLMs): methods and applications”. Qualifications Applicants
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quantum phenomena in strongly correlated systems; Analytic or numerical methods of quantum many-body systems and non-equilibrium systems; Quantum field theory; Modeling and calculation of solid-state