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an advanced AI-augmented digital platform (AiCT-Med) powered by cutting edge machine learning models trained on multiple large, aged care datasets from providers across Australia. The platform is designed
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models, multi-object tracking, and post-processing methods to improve traffic video analytics in complex environments. Drive benchmarking, evaluation, and deployment optimisation of AI models, ensuring
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product for transport planning. About the opportunity Lead research and development of advanced computer vision models, multi-object tracking, and post-processing methods to improve traffic video analytics
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, and modelling to identify pathogens, beneficial microbes, and predict disease outcomes. Develop innovative, sustainable strategies for disease management and soil health diagnostics. Collaborate with
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will need: A PhD or equivalent in stochastic modelling, data science, network analysis, statistics, or related discipline Is eligible to apply for an Australian Government security clearance. Research
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and national or international presentations. Expertise in research methodology and a systematic, programmatic approach to inquiry. Experience applying cognitive models of psychopathology (e.g., PTSD
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the WATOC Dirac Medal. As the successful candidate, you will contribute to the design and implementation of AI models that integrate quantum mechanical theory with deep learning, enabling rapid and
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of compound stability, release kinetics, and bioavailability using simulated feed manufacturing and digestive models. Undertake in vivo validation of delivery technologies in model organisms (e.g. Artemia) and
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research investigating novel treatments for neurodegenerative diseases such as motor neuron disease, particularly through the use of zebrafish, rodent and cell culture models of the disease. You will be
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policy, systems and management, gender and health, occupational health, and public health practice. This position is to support an ARC funded project (DP250100393) focussed on developing a model of