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well as in a team. Experience in healthcare data analysis and related track records of publishing academic research papers is highly preferred. The appointee will work on healthcare big data related project
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proficient in data analysis using statistical or computer modelling software, such as R. They should have an excellent command of written and spoken English and a demonstrated record of publishing academic
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diabetes, obesity, and non-alcoholic fatty liver disease (NAFLD), including experimental design, data analysis, and maintenance of specialized equipment Contribute to grant applications, scientific
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, execution, and regulatory submissions) proficiency in bioinformatics, statistical analysis (R, Python, SAS, or similar) fluent in English (written and spoken) proven grant-writing success and ability
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Studies is one of the constituent departments of the Faculty of Business. The Department offers a full range of degree programmes in supply chain and operations management, maritime studies and others
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Maritime Studies is one of the constituent departments of the Faculty of Business. The Department offers a full range of degree programmes in supply chain and operations management, maritime studies and
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Maritime Studies is one of the constituent departments of the Faculty of Business. The Department offers a full range of degree programmes in supply chain and operations management, maritime studies and
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experiments involving molecular biology techniques and biostatistical analysis Undertake other duties as assigned 5.5 workday per week is required Requirements a Ph.D. degree, preferably with experience in
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storage, energy efficiency, green materials, etc.) Carbon Neutrality (carbon capture, utilisation and sequestration, carbon loop, carbon footprint analysis, etc.) Sustainable Environment (climate change
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analysis, and proficiency in statistical and computer modelling software (e.g. R, Python, Matlab, and C++) would be advantageous. The appointee will work with a research team to study the methodologies