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image analysis packages such as Freesurfer, FSL, SPM, or 3DSlicer, or using machine learning or artificial intelligence models would be advantageous What We Offer The appointee would be exposed to ample
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Post-doctoral Fellow/Senior Research Assistant in the Centre for Information Technology in Education
development and teacher learning for artificial intelligence literacy”. He/She will take a key role in all stages of the research, including but not limited to (a) research and instrument design; (b) data
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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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Post-doctoral Fellow/Senior Research Assistant in the Centre for Information Technology in Education
6 Sep 2025 Job Information Organisation/Company THE UNIVERSITY OF HONG KONG Research Field Educational sciences Researcher Profile Recognised Researcher (R2) First Stage Researcher (R1) Established
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infectious disease data using statistical and/or mathematical approaches would be highly desirable. Experience in statistical analysis, and proficiency in statistical and computer modelling software (e.g. R
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Post-doctoral Fellow/Senior Research Assistant in the Centre for Information Technology in Education
organizational skills and the ability to work independently and collaboratively within a team on a tight schedule are essential to succeed in this role. Applicants in the final stages of their PhD studies may be
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, machine learning, analysis of unstructured and multimodal data, or advanced quantitative methods and use of AI in communication studies will have an advantage. The appointee will assist in a General
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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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environment and governance will be highly desirable. Experience in computational social science, causal inference, text mining, machine learning, analysis of unstructured and multimodal data, or advanced
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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