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analyses, multilevel modelling, data visualisation, and state-of-the-art statistical and epidemiological models would be an advantage. The appointees will be primarily responsible for applied and
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or virology; and preferably with basic laboratory skills of animal studies (mouse models). The appointees will conduct research projects related to influenza virus, coronavirus, or Epstein-Barr virus under
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self-driven, highly motivated, creative with excellent communication skills in written and spoken English and Cantonese. Expertise and knowledge in AI deep learning model development on histology whole
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highly complex workflows. We aim to develop optimization models and algorithms to improve wafer processing sequences across semiconductor manufacturing tools, with the objectives of reducing cycle times
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and oral communication skills; and the ability to work independently as well as in collaboration with a multidisciplinary team. Proficiency in longitudinal analyses, multilevel modelling, data
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wafers are processed across hundreds or even thousands of manufacturing tools following highly complex workflows. We aim to develop optimization models and algorithms to improve wafer processing sequences
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. Expertise and knowledge in AI deep learning model development on histology whole slide imaging analysis in computational pathology is essential. Applicants should have a solid publication record and
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for tumor suppressors and oncogenes using mouse models, functional studies for the immune cells in tumor microenvironment and cancer biomarker analysis and drug testing in vitro and in vivo. Applicants should
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proficient in data analysis using statistical or computer modelling software, such as R. They should have an excellent command of written and spoken English and a demonstrated record of publishing academic
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evaluation. Conduct in vivo studies, including administration of nanoparticles, monitoring fate, therapeutic response, and assessing the impact on disease progression. Develop relevant disease models to assess