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funding availability and satisfactory performance. Applicants should possess a Ph.D. degree in biological/medical sciences with experience in B and T cell immunology, or virology / microbiology and a proven
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of renewal subject to satisfactory performance. Applicants should possess a Ph.D. degree in Computer Science, Mathematics, Statistics, computational biology, related disciplines or equivalent. They should be
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the School of Nursing (Ref: 536958) (to commence as soon as possible for 12 months, with the possibility of renewal subject to funding availability and satisfactory performance) Applicants should possess a
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the School of Nursing (Ref: 536868) (to commence as soon as possible for 12 - 18 months, with the possibility of renewal subject to funding availability and satisfactory performance) Applicants should possess
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ensuring rigorous data integrity. Applicants should possess a PhD or equivalent doctorate in audiology, hearing science, or a related field, combined with proven experience in managing research projects
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), to commence as soon as possible for one year, with the possibility of renewal subject to funding availability and satisfactory performance. Applicants should possess a Ph.D. degree or an equivalent
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of renewal based on performance and funding availability. Responsibilities Conduct research and develop AI agents/skills applied to BIM/IFC and construction workflows Requirements A PhD’s degree; AI-native
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Ref.: 533551 Work type: Full-time Department: Faculty of Social Sciences (30000) Categories: Senior Research Staff & Post-doctoral Fellow Post-doctoral Fellow / Senior Research Assistant (holding
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from medical charts, data analysis and proficiency in statistical software such as SPSS and R are preferred. Those who plan to pursue research postgraduate studies are welcome to apply. Enquiries about
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(Ref.: 536634). To commence from September 1, 2026 to August 31, 2027. Applicants should possess a Bachelor's degree in STEAM education, artificial intelligence, education, science, mathematics