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The appointee will assist the project leader in the research project - “MLFF-agent: autonomous discovery of machine-learning force field with large language model”. He/She will be required to: (a) be the
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data and relevant factors as model inputs into modelling frameworks, by targeted literature review and secondary data analysis Perform big data-based epidemiological studies in health services and policy
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researchers on projects related to big data, health economic analyses, large-scale population-based longitudinal studies, and electronic medical records-based cohort studies, particularly in the areas
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) screening, for the prevention of SARS-CoV-2 transmission between primary schoolchildren in communities: a large-scale stratified cluster-randomised controlled trial”. Qualifications Applicants should have an
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to big data, health economic analyses, large-scale population-based longitudinal studies, and electronic medical records-based cohort studies, particularly in the areas of special educational needs and
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18 Sep 2025 Job Information Organisation/Company LINGNAN UNIVERSITY Research Field Computer science Physics Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Country Hong
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4 Sep 2025 Job Information Organisation/Company LINGNAN UNIVERSITY Research Field Computer science Engineering Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Country Hong
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to multitask and work independently as well as in a team. Experience in large-scale research project management and development, knowledge of statistics and big data analysis would be highly desirable. A highly
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satisfactory performance and funding availability. Applicants should possess a PhD degree in epidemiology, biostatistics, applied mathematics, data science or other related disciplines. They should have strong
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VR-based tasks to study user cognition and creative performance; • process and analyse EEG data using advanced signal processing and machine learning techniques; • evaluate cognitive load