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will include: Design and implement processing pipelines for data collected through the SDA-PD programme's sensor network, including event detection, signal characterisation, and source attribution. Lead
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-dimensional biomedical datasets, including transcriptomics, proteomics, secretomics and other molecular data Apply pathway, network, graph-based and mechanistic modelling approaches to unravel adverse effects
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of different chemical and biological wearable/implantable/point-of-care sensors using these materials for the high precision detection of biomarkers and physiological parameters, such as proteins, DNA, antigen
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experimental disease models to identify disease mechanisms, discover therapeutic targets, and improve disease prediction, prevention, and treatment. Our research focuses primarily on substance use disorders and
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people who discover them The Opportunity Join an ARC-funded research project developing numerical methods to simulate the flow of dense viscous liquids through a deformable granular mush. The project aims
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(The Netherlands), SINTEF (Norway) and Nel Hydrogen (USA) providing opportunities for research visits and international networking. The successful candidate will join a highly collaborative environment with access
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required to develop and demonstrate single-photon light detection and ranging (LiDAR) systems by integrating in‑house single‑photon detectors. The role will assess various LiDAR configurations, optimize
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Level A (plus 17% employer superannuation) Amplify your impact at a world top 50 University Join our inclusive, collaborative community Be surrounded by extraordinary ideas - and the people who discover
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communication skills and ability to network effectively and interact with a diverse range of stakeholders. Demonstrated ability to work in a team, collaborate across disciplines, create innovative solutions
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Council (ARC). You will develop a new model of electrical energy distribution, including renewable energy generation and electric vehicles. It will be used to optimize network resources across the grid