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: A completed or nearly completed PhD in Biochemistry, Plant Biochemistry, Chemistry or related subject. Demonstrated skills in glycobiology and analytical chemistry Demonstrated understanding of plant
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internal and external partners/professionals Specialist knowledge & experience of quantitative research methods and analysing data from a range of sources Competence in analytic/statistical software such as
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we are looking for (Selection Criteria): Essential: A PhD (or near completion) in geochemistry, geology, data science or a related discipline. Demonstrated knowledge of, or strong interest in critical
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at the NUS Business School, Department of Analytics and Operations. The research fellow’s primary duty involves conducting research, including model development, theory building, data analysis, and possibly
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and research protocols in compliance-focused environments. Advanced computer skills with experience using Microsoft Word, Excel and PowerPoint; specific experience in working with a range of analytical
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/ Associate should have Epidemiological and Biostatistical Analytical capabilities and manuscript writing capabilities. He/she will be a key member of the team for data analyses, interpretation and writing-up
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with team members to ensure the timely delivery of high-quality samples and structural data. Design and execute experiments, analyze data, and assist in the preparation of manuscripts, presentations, and
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and healthcare system simulation modelling will be useful for evaluating these options. To that end, this team will develop a novel analytical simulation framework and use it to address these pressing
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epidemiology and health informatics, that informs the development of effective public health interventions, including data analytics and manuscript preparation. Key Responsibilities: Contributing to data
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the project within the set fellowship period. The main purpose of the fellowship is research training leading to the successful completion of a PhD degree. For more information, please see our web site: https