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the Vaccine Process Development workstream and contributes to others workstreams of the HKJCGHI, including capacity building. These areas of work are in sync with HKJCGHI activities of the Science Unit in Seoul
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include but are not limited to: Provide strategic leadership aligning with the University’s strategic plan for the information technology (IT) infrastructure, digital transformation towards a smart campus
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Club inspire ability project: Technology for career and life development of students with special educational needs”. Qualifications Applicants should: (a) have an honours degree or an equivalent
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- “Development of a flight simulator visual simulation system”. Qualifications Applicants should have a doctoral degree plus at least three years of postdoctoral research experience or equivalent qualifications
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approaches to tackle the global public health threat of hypervirulent and multidrug-resistant Klebsiella pneumoniae” and “Development of bacterial pseudaminic acid-based vaccine to combat infections caused by
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project - “Uncovering the origin and development of space stems in negative electrical discharges through laboratory observations”. Qualifications Applicants should have a doctoral degree or an equivalent
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Responsibilities Lead a team of training officers and research officers in the project and to make sure all the training and research deliverables are delivered on time Perform administrative roles and prepare
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Post-doctoral Fellow in the Department of Orthopaedics and Traumatology, School of Clinical Medicine
observation and molecular therapy. The successful candidate will leverage the unique clinical resources of the Greater Bay Area and the advanced research facilities at the University to develop innovative
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in the research project - “Development of efficient and cost-effective equipment for angstrom-level precision polishing and its application in processing optical complex surfaces”. Qualifications
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maintenance, testing and new feature development; (b) develop and optimise low-precision training methods for LLMs under FP8 and FP4 precision, covering pre-training, SFT and RL while maintaining model