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Full time fixed term 2-year position Work within a major industry‑backed, multidisciplinary research partnership developing cutting‑edge metal composite coatings for extreme industrial environments
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opportunity for a highly motivated computational biologist to join a multidisciplinary research team investigating plant–pathogen interactions through integrative computational modelling. You will develop and
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integrative data synthesis and advanced analytics to accelerate the development and implementation of evidence-based strategies that prevent and manage chronic illness and improve health outcomes across
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platform to further develop your research profile, expand professional networks, and make a significant contribution to the University’s strategic objectives in Indigenous health research. Your key
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. The Research Fellow will contribute to the development of an implementation science evidence-base to support the transferability of this learning for adaptation to other settings. The successful applicant would
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, measure transport and machine learning on developing a novel mathematical framework for identifying reduced dynamical models of high-dimensional complex multi-scale systems. The project will develop fast
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opportunity to be part of a collaborative and impactful research environment that informs healthcare policy and practice. Your key responsibilities will be to: · contribute to the design and development
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of complex cardiac motion during radiation therapy. The successful candidate will also contribute to the development of advanced non-invasive cardiac mapping approaches, involving multi-signal acquisition
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drug resistance in invasive and emerging fungal pathogens develop novel approaches to analyse medically relevant fungal genomes in the context of infectious disease outbreaks produce high-quality
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when liaising with collaborative research partners. Your key responsibilities will be to: develop advanced modelling, novel material synthesis, processing, fabrication and manufacturing sequence