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statistical software such as Mplus, Stata, or R; (h) be familiar with statistical methods including autoregressive models, structural equation modeling (SEM), dynamic SEM, psychological network analysis.; (i
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statistical methods including autoregressive models, structural equation modeling (SEM), dynamic SEM, psychological network analysis; (i) have strong research interests in lifestyle medicine, youth
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, attentive to details, and able to work independently and in collaboration with a multidisciplinary team. Knowledge of multilevel modelling and other statistical methods for longitudinal data analysis
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Responsibilities Develop and apply advanced artificial intelligence and machine learning models to real-world data (RWD). Create innovative tools and solutions to extract deeper insights from RWD and enhance
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the research project - “Simulation modelling of advanced hydro-adaptive robot forming process for metal foils”. Qualifications Applicants should have an honours degree or an equivalent qualification. Applicants
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) solid experience in software development, including C++ and Python; (c) solid experience in digital twin development, including 3D modelling and NVIDIA Omniverse / Isaac Sim; (d) solid experience in
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processing, weather-related forecasting, deep learning, and/or atmospheric radiative modeling, along with proficient Python coding skills. Applicants are invited to contact Prof. Mengying Li at telephone
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posts) [Appointment period: each for sixteen months] Duties The appointees will assist the project leader in the research project – “LocGPT: Understanding indoor localization by large AI models
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responses. Structural Bioinformatics & Biophysical Modeling: Protein structure prediction (e.g., AlphaFold, RoseTTAFold, ESMFold), molecular dynamics (MD) simulations, or protein-protein/antigen-antibody
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research experience in 3D human modelling and analysis, 3D shape correspondence, artificial intelligence, etc. Applicants are invited to contact Prof. Yick Kit-lun at telephone number 2766 6551 or via email