37 software-engineering-model-driven-engineering-phd-position Postdoctoral positions in Hong Kong
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General Research Fund (GRF) grant for studying infectious airborne disease transmission in relation to urban and building-level airflow paths. Applicants should possess a PhD degree in Engineering, Computer
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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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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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, 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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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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Fellow (PDF) / Senior Research Assistant (SRA) (several positions) in the Sau Po Centre on Ageing within the Faculty of Social Sciences (Ref.:531592) to commence as soon as possible, on a two-year
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. Applicants should have completed a Ph.D. degree in relevant fields of philosophy (or related fields) by the time of appointment. The position is open to all areas of specialisation, but applicants with
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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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Science, Biomedical Sciences/Engineering, Electrical Engineering, Medical Physics, or related disciplines with a strong background in artificial intelligence and medical image analysis. Experience in deep learning