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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 solutions
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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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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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, or other techniques relevant to the project) using software such as SPSS, R, Stata, or Python; (b) perform qualitative data analysis using NVivo (including coding), thematic analysis, and management
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learning approaches; and (b) explore issues including imbalanced data, scalability, transfer, self‐supervision, etc., in prediction, inference, and planning with applications in medical images
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Applicants for the Research Associate post should have a master’s degree in Construction, Building, Civil Engineering or a related discipline, with good programming / coding skills. Applicants for the Research
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Applicants for the Research Associate post should have a master’s degree in Project Management or a related field, with good programming / coding skills. Applicants for the Research Assistant post should have