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Research Fellow - Analog/RF IC Design for Portable Radar System Job No.: 691720 Location: Clayton campus Employment Type: Full-time Duration: 2 Years fixed-term appointment Remuneration: $83,280
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Responsibilities Drive High-Impact Research: Design and execute experimental and empirical research, publishing top-tier papers in leading conferences and journals. Advance Secure AI Systems: Investigate safety
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with older people Discover ideas through co-design research and health innovation The Opportunity The School of Nursing and Midwifery has an exciting opportunity for a Research Fellow to contribute
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learning, generative AI or LLM-based systems, cloud computing, and the design and validation of algorithms for high-volume quantitative or sensor-derived data. Experience with wearable data, health
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to the design and empirical evaluation of a large-scale field experiment, including household, market and value-chain surveys, quantitative analysis, and the development, testing and implementation of a digital e
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both collaboratively and independently, including research design, advanced research procedures and preparation of reports, publications and conference papers. The role will also contribute to research
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throughout all stages of the research process. In this role, you will design and deliver high-quality research, engage collaboratively with Aboriginal and Torres Strait Islander participants, communities and
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the Australian Eating Disorders Research and Translation Centre, the position supports the design, implementation and dissemination of research aligned with Good Clinical Practice standards and regulatory
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industry partner, CSL Behring. These datasets hold critical patterns, anomalies, and insights that traditional methods miss. You will develop, test, and evaluate robust, interpretable machine learning models
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closely with academic teams across institutes. This position will play a key role in conducting statistical analyses and contributing to research design, interpretation, and dissemination, including grant