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computer skills with experience using Microsoft Word, Excel and PowerPoint; and specific experience in working with a range of data management/analytical software. Prior experience, knowledge and expertise
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the delivery of health economics projects by conducting literature searches, data collection, unit costing and statistical analyses. You will analyse data, synthesise results and provide solutions
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research, including the ability to carry out data collection, statistical analysis and scientific writing. Excellent abilities in problem solving, record keeping, data presentation and working in a team
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communication skills, with the ability to produce clear, succinct reports and documents. A demonstrated awareness of the principles of confidentiality, privacy, and information handling. A demonstrated capacity
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complex problems and have a demonstrated awareness of principles of confidentiality, privacy and information handling. The successful candidate will also demonstrate expertise in quantitative studies
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, to conducting interviews and focus groups with victim-survivors and service providers, and supporting the analysis of qualitative and quantitative data. You’ll also help produce reports and knowledge-sharing
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. Proficiency in Microsoft Office, University-specific software, and willingness to learn new software. Desirable skills include statistical analysis, database usage, and advanced data analysis/plotting software
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of Information Technology is seeking a Level A Research Fellow to join the Department of Data Science and Artificial Intelligence (DSAI). This role offers an exciting opportunity to contribute to cutting-edge research