Sort by
Refine Your Search
-
independently and as a team. Knowledge and experience in using mixed research methods are highly preferred. A strong publication track record on peer-reviewed academic journals and research grants will be
-
adequate knowledge of quantitative research methods, as well as a good command of written English. Experience and passion in research topics of palliative and end-of-life care and public health will be
-
well-trained and enthusiastic mechanical and building service engineers and research graduates and to serve the local and international community and industry. Applicants should possess a PhD degree in
-
Science; Software Engineering; Systems & Networks; Extended Reality (XR), AR/VR, and Immersive Technologies Security / Digital forensics; Algorithms. Supervise final year projects and capstone projects
-
to three years on fixed-term basis, with the possibility of renewal subject to satisfactory performance and funding availability. Applicants should hold a PhD degree in epidemiology, biostatistics, public
-
into significant questions about present and future urban problems and their solutions facilitated by the advances in data science, GIS methods, urban sensing and robotics. Duties and Responsibilities The appointee
-
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
-
, proactive facility management, building/city health check, and next-generation BIM and digital twins. Having expertise in leveraging advanced digital methods, big data analytics, machine learning, generative
-
the following: PhD and/or MD degree in Biomedical Engineering, or in STEM-related fields. Distinguished record of academic achievements and international recognition in research, scholarship and teaching. Proven
-
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