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of medicines. We welcome imaginative and interdisciplinary applicants who can move our ambitions forward by pursuing new opportunities for laboratory and clinical research programme. Applicants should possess a
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applications for the above post. Applicants should apply online and upload (i) a statement of professional interests and a research plan; (ii) an executive summary outlining your field of research and
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on research projects related to gene-editing and other research-related projects Assist in data acquisition and analysis, write-up the results, prepare scientific publications, draft research grants, and
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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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, Dental Materials, Dental Technology or a related discipline, with research experience in Non-linear Finite Element Analysis, CAD for dental prostheses, AI algorithm development using python / PyTorch, and
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development is a strong plus (e.g., domain-specific agents, RAG, code generation, or practical applications); Experience in grant proposal preparation; and Proven experience in research project management
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research team to conduct data analysis for different types of data, including genomic/metagenomic sequencing data, ecological surveillance data, as well as development of analysis pipeline. Working off
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at https://www.hkubs.hku.hk/ . Meanwhile, the information regarding the Faculty’s recently launched Master of Science in Business Analytics Programme can be obtained at http://www.fbe.hku.hk/msba/ . A
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of the Department of Mechanical Engineering is to engage in innovative, high-impact and leading edge research and development, to create a learning environment that maximizes the potential of all students, to produce
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algorithms. Strong programming skills in Python and/or R. Experience in analyzing both quantitative and qualitative research data. Experience in statistical consulting, dashboard development, and data