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Machine Learning for Image Classification. Eligibility You must: We would like you to have: sound knowledge of machine learning, computer vision and image processing strong programming skills. How to apply
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alloys produced using additive manufacturing technologies. You will work close with Dr Qiyang Tan and Prof Mingxing Zhang and contribute to alloy development using computational materials science, applying
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This PhD scholarship is funded by an Australian Research Council Industry Fellowship grant. It is a 3.5-year research training program. The ARC Industry Fellowship program aims to develop a strong
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of future medical professionals in regional Queensland. Key responsibilities will include: Teaching: Lead the academic delivery of General Practice across all four years of the MD program, including teaching
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Australia’s Food and Beverage Accelerator’s (FaBA) Program : Based in the Australian Institute for Bioengineering and Nanotechnology (AIBN) Full-time, 100% FTE Fixed-term position for 20 months
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Future Fund–supported program (2026–2030) to reduce addiction, self-harm, and mental ill health. The project integrates 20 years of binational cohort and cross-sectional data with administrative datasets
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Future Fund–supported program (2026–2030) to strengthen evidence on addiction, self-harm and mental ill health. The multidisciplinary study will analyse 20 years of binational cohort and cross-sectional
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checks required for the role, as determined by the University. Enquiries: Dr Belinda Comerford, Education Program and Safety Manager, School of Biological Sciences, 9905 1856 Position Description: Teaching
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Philosophy. The first step is to email Dr Julia Bally detailing your academic and research background, your motivation to research in this field and interest in this scholarship, and include your CV
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of Philosophy / professional doctorate . The first step is to email Dr Veronica Gray detailing your academic and research background, your motivation to research in this field and interest in this scholarship