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This research project will build a comprehensive database of laboratory and field rockfall fragmentation events to allow the development and validation of a rockfall fragmentation prediction model to account for in stochastic rockfall simulations. We invite highly motivated and committed...
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A funded PhD position is available to develop novel imaging techniques for wound monitoring including algorithms for image processing and prediction. The PhD student will become part of a large multidisciplinary team who are focused on improving outcomes for patients with chronic wounds. The...
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This project will apply quantum chemistry and molecular dynamics simulations to the study of Hofmeister and specific ion effects in complex electrolytes, including non-aqueous solvents, deep eutectic solvents and ionic liquids. Specific ion effects are ubiquitous and contribute greatly to the...
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Fantastic opportunity for a casual part-time enthusiastic Research Assistant to support tertiary science education research at The University of Sydney This role is commencing ASAP until December 2024 / 2 days per week (15 hours per week) HEO 5 - Step 1 $57.08 per hour A copy of your most recent...
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The research will focus on developing advanced AI techniques to improve analysis and interpretation of data in simulation-based training scenarios for Defence. The project aims to advance AI methodologies to optimise training effectiveness and system capabilities in simulated environments. The...
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PhD Scholarship: Barking up the right trees – a microbial solution for our methane problem. This Southern Cross University 3.4-year fully funded PhD project supports an Australian Research Council DECRA project investigating the role of tree-dwelling microbial communities in mitigating...
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PhD position in methane cycling in mangroves in Australia Background: Methane (CH4) is a potent greenhouse gas that contributed 35% of the greenhouse gas-driven global warming in 2010-2019. Resolving the sources and sinks of methane is critical for achieving our global ambitions to rapidly...
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Asthma is common in pregnancy; associated with exacerbations and poor outcomes for the baby. This study will prospectively examine the prevalence and clinical relevance of a range of traits, including lung inflammation, common co-morbidities and behavioural factors in this population. The...
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The project will develop new deep learning methods to improve machine vision comprising several sensors in collaboration with industry partners 4AI Systems and 4Tel Pty Ltd. In this project we will investigate principles of multi-sensor vision systems in the context of deep neural networks and...
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Up to 50% of children and adolescents with asthma are overweight/obese, vs 25% of those without asthma. Excess weight is linked with worse asthma control and a higher chance of asthma attacks. Dietary intervention may be an important strategy to improve asthma control in this group In Australia,...