140 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" Fellowship positions at National University of Singapore
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activities and/or the management and analysis of complex research data. These positions offer the opportunity to work in a collaborative academic research environment at the intersection of public health
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. The responsibilities of the role will include designing and developing smart databases of various unstructured and non-traditional information related to corporate environmental and social impacts. There are no teaching
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, metabolomics, and immunophenotyping of colonic tissues. Develop and optimize small animal models of colitis to investigate the mechanistic role of SCFA-producing microbes in mucosal repair. Perform data analysis
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Responsibilities - The research fellow will be expected to lead the design and implementation of studies aimed at understanding reproduction and ageing biology - Presentation of data internally and externally
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intelligence, neuroimaging, data science, and public health to advance early detection and prevention of cognitive decline and ageing-related brain disorders. The research team works closely with local and
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PhD in Economics, Health Economics or related discipline. Teaching and research experience in Health Economics / Econometrics are highly desirable. Experience in quantitative data and statistical
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research projects in the areas of Environmental and Cancer Epidemiology. Major duties and responsibility of the position include but are not limited to: • Data collection and management • Data analysis using
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, and IRB applications. Phase 3 – Data collection and pre-processing. Phase 4 – Data analysis and result tabulation. Phase 5 – Research communication and writing of papers. The level of responsibility and
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). Skill and experience with management and strategy research, economic modelling and statistical analyses are essential. Familiarity with data mining, machine learning and computation techniques, especially
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responsibilities will include: Prepare biological samples for TEM, including fixation, staining, sectioning, embedding, and mounting. Perform TEM imaging and support data acquisition and basic image analysis