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Department of Computing Part-time Research Assistant (Ref. 251112006) [Appointment period: six months] Duties The appointee will assist the project leader in the project - “Developing an LLM-based
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Department of Logistics and Maritime Studies Postdoctoral Fellow (Ref. 251126002) [Appointment period: twenty-four months] Duties The appointee will assist the project leader in the research project - “The influence of maritime industry activities on residents’ maritime culture awareness in the...
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Department of Health Technology and Informatics Research Assistant (two posts) (Ref. 251107004) [Appointment period: each for three months] Duties The appointees will assist the project leader in
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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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to establish an impactful research program and contribute meaningfully to the academic mission of SBME. Candidates should demonstrate promise in teaching and mentoring, a clear research direction aligned with
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, with the possibility of renewal subject to funding availability and satisfactory performance. Applicants should possess a PhD degree in Microbiology, Bioinformatics/Computational Biology, or a related
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delivering knowledge exchange within local and international communities. They should also have experience in curriculum development and program leadership. They should demonstrate a strong and cross
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Department of Computing Research Associate (Ref. 250929002) [Appointment period: six months] Duties The appointee will assist the project leader in the research project – “Towards edge-native
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; Oversee the development and provision of data centre and high-performance computing. Qualifications & Experience of the Person: An advanced degree in Information Science, Computer Science or a related field
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doctoral or master’s degree in Education, the Learning Sciences, Psychology, Computer Science, or a related discipline, with a strong background in technology-enhanced learning and assessment, AI in