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Manage, process, and analyse complex real-world healthcare datasets to generate insights and evidence. Develop and implement data pipelines for the ingestion, curation, and transformation of RWD
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availability and satisfactory performance) Applicants should possess a PhD degree in Mechanical Engineering, Electronic Engineering, Automation, or a related field, along with a minimum of two years of relevant
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initiative focused on understanding how the Solar System formed, how it evolved, how habitable environments were established on terrestrial planets, and which processes shaped planets into their current states
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motivated, creative with excellent communication skills in written and spoken English and Cantonese. Expertise and knowledge in bioinformatics, deep learning and/or biomedical image and clinical data analysis
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: Applicants should possess a relevant PhD degree with a solid track record in research. Candidates with strong background and research experience in molecular and cell biology, biochemistry, or genetics
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Data Scientist. We now invite applications for the captioned post. Duties and Responsibilities Manage, process, and analyse complex real-world healthcare datasets to generate insights and evidence
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temporary term contract, with the possibility of renewal subject to funding availability and satisfactory performance) Applicants should possess a PhD degree in Mechanical Engineering, Electronic Engineering
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Artificial Intelligence (DSAI) is a multi-disciplinary department hosted under the Faculty of Computer and Mathematical Sciences established on 1 January 2025. DSAI will be at the forefront of cutting-edge
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bioinformatics, deep learning and/or biomedical image and clinical data analysis (e.g. Linux, R programming) is essential. The appointees will need to perform data analysis of single cell RNA-sequencing
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when necessary. Requirements: Possess a PhD in relevant field and research scope; Strong research publication track record; Possess analytical capability and effective communication skills; and Good