36 software-engineering-model-driven-engineering-phd-position Postdoctoral positions at THE UNIVERSITY OF HONG KONG
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statistical modeling as well as the design and validation of performance assessment and psychometric instruments is mandatory. Familiarity with mixed-methods and/or intervention research for youths/vulnerable
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analysis, and proficiency in statistical and computer modelling software (e.g. R, Python, Matlab, and C++) would be advantageous. The appointee will work with a research team to study the methodologies
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of family and mental health are preferred. They should be competent in advanced quantitative analysis (e.g. SEM, multi-level modelling, factor analysis) and experienced in using statistical software (e.g
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for RAP, or a one- to three-year temporary basis for PDF, with the possibility of renewal subject to satisfactory performance and funding availability. Applicants should possess a PhD in epidemiology
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Bioengineering or Biomedical Engineering, with good experience in biological imaging and image processing. Those with basic knowledge of imaging system development would have an advantage. The appointee should be
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, molecular and cell biology, and animal models. Skills in bioinformatics are advantageous. Candidates should be highly motivated and have a track record of publications in international journals. The appointee
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availability and satisfactory performance) Applicants should possess a PhD degree in Nursing, Social Sciences, Social Work, Statistics, Public Health or related disciplines. They should have a good command of
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with a proven track record of managing a research team and supervising undergraduate and postgraduate students Self-driven, motivated, and capable of executing project tasks and deliverables according
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experience in one or more of the following areas: development of methods for multi-omics data integration, application of machine learning models in life science, single cell data analysis and spatial
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the possibility of renewal subject to funding availability and satisfactory performance. Applicants should possess a PhD degree in Biology or related disciplines, preferably with experience in virology research