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unique data collection opportunities, including large-scale agricultural household surveys, measurement experiments (such as DNA fingerprinting for plant variety identification), and impact studies
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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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building a digital platform that consolidates and presents this information. Centred on data extraction and expert review, the position involves assessing the accuracy and appropriateness of scientific
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leading medic-legal and engineering researchers on real-world crash data Join Australia’s only academic department embedded in a forensic medicine institute The Opportunity Are you a proactive early-career
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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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Professor Gamble in key research initiatives. Responsibilities include ethics applications, conducting literature reviews, recruiting participants, preparing grant submissions, performing data analysis, and
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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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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