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data to better understand the structure and function of the brain—across health, disease, and species. You'll work with world-class researchers in fields including network science, biophysical modelling
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models Oversee research data systems, including plasmid, antibody, and mouse databases Handle regulatory submissions (animal ethics, OGTR compliance) and maintain laboratory safety protocols Train and
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discover them The Opportunity The Department of Electrical and Computer Systems Engineering is seeking a highly skilled Research Fellow with a strong understanding of radar radio frequency (RF) systems
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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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, 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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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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guidance from other staff Occasional contributions to teaching in relation to their research project(s) Experimental design and or conduct of advanced research data and modelling procedures Attendance