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(Level A) $78,544 to $105,611 per annum plus an employer contribution of 17% superannuation applies. Fixed-term, part-time position (0.6 FTE) available for 2 years. Grant Funded Early Career
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the following skills and qualifications (tailored to the specific project): Driven individuals who want to be a part of a world class team Some familiarity in healthcare or engineering/image based analysis
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evidence underlying C2 Agility is based mainly on descriptive studies that use cross-sectional or low-resolution (i.e., broad timescale) snapshots of key inputs, processes, and outputs obtained within static
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-style interventions, and preventative medication. Analysis will utilise best practice in health inequalities measurement, modern econometric techniques, behavioural experiments, and modelling
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relevance across various surgical procedures and patient groups. Objectives 1. Algorithm Development: (a) Design and implement a deep learning algorithm for CT scan analysis. (b) Train, validate, and test the
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polymer chemistry or tissue engineering. Strong skill set for data analysis and interpretation, coupled with excellent written and verbal communication abilities. Ability to work effectively in a
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This project will investigate artificial intelligence (AI) to improve weather forecasts and use crop models for making better farming decisions. The expected outcome is protocols for integrating AI
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for policy, practice and advocacy. The mixed-methods project will use a combination of participatory approaches including but not limited to GIS mapping, stakeholder analysis, network and systems mapping
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addition to debits, credits can be obtained. The research performed under this internship by an Electrical/Power Engineering or Computer Science PhD student will relate to this reform, specifically investigation
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treatment. Objectives Conduct studies to measure the impact of multisensory stimulation on sensorimotor learning, working memory, and selective attention. Utilise EEG to investigate the neural mechanisms