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the adoption of Federated Learning. Provide expertise and knowledge to end-users in data governance. Maintain accurate records, results and outcomes of project activities. Contribute to and/or draft elements
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frameworks. Demonstrated expertise in infectious disease epidemiology and/or disease modelling, molecular epidemiology, bioinformatics and/or quantitative analysis relevant to infectious disease research. High
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, validation, and linkage to other datasets proficiency in R for complex statistical analysis, data curation, multivariable regression modelling, and development of analytic workflows experience using REDCap
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journal publications, conference presentations, technical reports) in relevant fields. Data Analysis and Interpretation: High-level ability to analyse and interpret experimental or simulation data to inform
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the research project. Monitor research protocols, provide problem-solving and resolutions to any evolving problems related to design, implementation and analysis. Liaise with organisations, data custodians
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, characterization and evaluation of novel PfM1 and M17 aminopeptidase inhibitors. This would include compound design, data management and analysis and sample preparation as well as a range of drug discovery-related
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the intervention) lead and support data collection, analysis and manuscript preparation manage the research budget collaborate with clinical and research team members present research findings through publications
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collection, analysis, and publication outcomes. You will also have opportunities to contribute to the supervision of Honours and Higher Degree by Research students, making this an excellent role for a
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conduct data processing and secondary data analysis in collaboration with Chief and Associate Investigators. Produce high-quality research outputs, including peer-reviewed publications and conference
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design, performance and subsequent data analysis. Position description: PD [Research Fellow (Centre for Energy)] [522097].pdf To learn more about this opportunity, please contact Professor Dongke Zhang