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- “Distribution mechanisms and risk prediction of fungal pathogens and antifungal resistance in urban waters”. Qualifications Applicants should have a doctoral degree or an equivalent qualification and must have no
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on exercise health assessment and risk prediction for children and adolescent”. Qualifications Applicants should have: (a) an honours degree or an equivalent qualification in Biomedical Engineering, Sports
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- “Smart Holistic Insurance Enhancement using Learning Algorithms & Decentralization (S.H.I.E.L.D.)”. He/She will be required to: (a) develop machine learning models to predict optimal rehabilitation
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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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(e.g., scRNA-seq) to investigate cellular heterogeneity, host-pathogen interactions, and immune responses. Structural Bioinformatics & Biophysical Modeling: Protein structure prediction (e.g., AlphaFold
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knowledge; (d) develop reliability-aware diagnostic methods involving uncertainty quantification, confidence calibration, conformal prediction, out-of-distribution detection, and unknown fault recognition
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, cooperative, and coding skills. Applicants are invited to contact Prof. Guohao Zhang at telephone number 3400 8488 or via email at [email protected] for further information. Conditions of Service
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encompassing data-driven electrolyte screening, molecular dynamics simulations, and experimental validation to bridge the gap between AI predictions and practical battery performance. The optimized electrolyte
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, and experimental validation to bridge the gap between AI predictions and practical battery performance. The optimized electrolyte formulations are expected to satisfy the strict requirements of high
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Prof./Associate Prof./Assistant Prof. in AI/Robotics for Aircraft Maintenance / Low-Altitude Economy
/her delegates. Qualifications Applicants should: (a) have a doctoral degree in Engineering with expertise in (1) AI/Robotics for aircraft maintenance, including but not limited to predictive maintenance