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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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performance. Applicants should possess a PhD degree in biological sciences or related fields, with expertise in bioinformatics and biostatistics, and a proven research track record on analysing viral evolution
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the field of public health, biostatistics, pharmacoepidemiology and epidemiological studies. They must be proficient in data analysis using statistical or computer modelling software, such as Stata or R
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Experience in 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
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availability and satisfactory performance. Applicants should possess a PhD degree in kinesiology, exercise science, public health or related disciplines. Applicants should have a strong sense of responsibility
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to: designing, implementing, and optimizing high-performance C++/C# software modules for real-time control, sensor fusion, and data analysis; developing unity‐based visualization and user-interaction interfaces
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well as in a team. Experience in healthcare data analysis and related track records of publishing academic research papers is highly preferred. The appointee will work on healthcare big data related project