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Modelling (MLM), and latent profile analysis. Experience in managing projects, implementing large-scale surveys, and analysing large datasets are relevant strengths. The appointee should also have a high
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, epidemiology, biostatistics, genomics, big data analytics, or artificial intelligence analytics Be familiar with conducting analysis with different types of data, including metagenomics sequencing, genomics
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data or job advertisements, as well as expertise in web crawling, large language models, and text analysis techniques. An excellent understanding of causal inference methods is essential to develop
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experience working with unstructured data, such as LinkedIn data or job advertisements, as well as expertise in web crawling, large language models, and text analysis techniques. An excellent understanding
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and Prevention Group of HKU (stroke.hku.hk) to assist in neuroimaging data acquisition and analysis, write-up of the results, as well as training of students Apply image analysis skills on clinical and
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and SPSS, for large and complex data analysis Proven knowledge and experience in undertaking research related to end-of-life care is advantageous What We Offer The appointment will commence from as soon
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-performance computing (HPC) environments and large-scale numerical codes for space plasmas; proficiency with scientific programming (e.g., Fortran/C/C++/Python) and Linux is an advantage Experience with data
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2 Oct 2025 Job Information Organisation/Company THE UNIVERSITY OF HONG KONG Research Field Physics Environmental science Geosciences Researcher Profile Recognised Researcher (R2) Established
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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