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invites applications for two positions as Research Assistant Professor (RAP) in Urban Analytics or Construction AI (Ref. no. 532734). Appointments will commence as soon as possible on a one- to three-year
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-on experience in advanced cell culture techniques and in vivo models. Proficiency in various cell and molecular biology experimentation techniques like PCR, gels, Western blotting, Immunohistochemistry, ELISA and
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Post-doctoral Fellow/Senior Research Assistant in the Centre for Information Technology in Education
for technology-enhanced learning and pedagogical innovation is crucial. Preference will be given to those with expertise in innovative methods of assessment and/or advanced statistical methods, such as multiple
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Post-doctoral Fellow/Senior Research Assistant in the Centre for Information Technology in Education
innovative methods of assessment and/or advanced statistical methods, such as multiple linear regression, mediation analysis, multilevel modeling, and/or latent variable models. Experience in managing and
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satisfactory performance and funding availability. Applicants should possess a Ph.D. degree in Virology. Expertise in mechanistic research or structural virology are particularly welcome. They are expected to be
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, including 3D modelling, physics integration, and cross-platform deployment (PC, mobile, AR); integrating and deploying AR navigation applications on Microsoft HoloLens, covering spatial mapping, SLAM
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the project leader in the research project - “Unmanned underwater vehicle inspection system for marine engineering structures”. Qualifications For the post of Research Assistant, applicants should have a
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experimental, writing, and communication skills. Preference will be given to candidates with research experience in epigenetics, stem cell reprogramming, neural development, disease modelling using human iPSCs
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with research experience in epigenetics, stem cell reprogramming, neural development, disease modelling using human iPSCs, and/or genomic medicine. In particular, we seek applicants with expertise in
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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