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physiological experiments including whole-body plethysmography, blood pressure radiotelemetry, electrophysiological nerve recordings, and chemogenetic and optogenetic manipulation in mouse models. Contributing
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applied research to support the sustainable management of freshwater ecosystems. We require a quantitative ecologist with skills/experience in statistical and quantitative modelling. The successful
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requirements definition, CAD/FEA modelling, multi-objective optimisation (e.g., DOE/GA/surrogates), prototype build, and laboratory validation. Track record of peer-reviewed publications (e.g., IEEE and IET
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operational activities, ensuring your work delivers tangible environmental impact. Key responsibilities will include: Research: Lead and contribute to spatiotemporal modelling, mapping, and remote sensing
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at the Melbourne Centre for Nanofabrication (MCN). This role offers a unique opportunity to work on pioneering platforms that are transforming how we model human physiology and accelerate therapeutic discovery. In
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systems (such as RedCAP), Endnote files, and databases Demonstrated experience with data analysis, visualization, and building machine learning models in programming language such as Python or/and R
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to perform in-depth and critical data analyses and, where relevant, data modelling. Ideal candidates will possess: Completion or near completion of a PhD in environmental chemistry, analytical chemistry
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research with the goal of enhancing knowledge, clinical practices, and care models, focusing on: • Research to enhance child health, well-being, and development • Building equitable health systems in
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the field. Ability to perform in-depth and critical data analyses and, where relevant, data modelling and visualisation through the use of statistical software relevant to the Position applied. Ability
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Completion or near completion of a PhD in the discipline area (molecular biology, immunology, cancer research, pharmaceuticals). Experience in animal models of disease. Evidence of publications in reputed