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) strong background in quantitative methods, statistics, computer science, geospatial data analysis and modeling; (b) experience in AI and geospatial computer version; (c) advanced skills in scientific
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desirable. The appointee will be responsible for coordinating an evaluation study on pharmacy services in primary care using both quantitative and qualitative methods and conducting pharmacoepidemiological
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of renewal subject to satisfactory performance. Applicants should have a PhD degree in biological/biomedical sciences or a related discipline. They should be hardworking, self-motivated, and able to work
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of research include quantum Monte Carlo methods, density matrix renormalization group and tensor network states, and artificial intelligence and neural networks, with particular focus on applying
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initiatives at SWIMS. The ideal candidate will have expertise in IoT, sensor development, ecological monitoring, and advanced ecosystem imaging methods such as photogrammetry. The officer will collaborate
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. Applicants should possess a PhD degree in Biomedical Sciences, Biochemistry, Chemistry or a related discipline. They should have strong background and research experience in at least one of the following areas
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an equivalent qualification; (b) have good working knowledge of quantitative and qualitative approaches and methods; (c) have high proficiency in English; and (d) be able to work independently
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be required to undertake certain administrative duties as required by supervisor(s). General Requirements Applicants should hold a PhD degree or an equivalent qualification in Statistics, Data Science
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collaborative multi-omic research projects relating to gut microbiota and vascular and brain health Involve in the design, implementation, and testing of statistical and AI software for analysing large healthcare
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availability.Applicants should have a PhD degree with research experience related to neuroscience or biomedical science/engineering or two-photon in vivo imaging. Experience in animal handling, behavioral experiment