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opportunity Deliver an ARC-funded research project focused on developing environmentally friendly drilling technology through experimental, computational, and applied engineering methods. Conduct advanced
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recycling end-of-life solar panels and will collaborate closely with the industry partner. The project involves delaminating solar panels, recovering constituent materials, and extracting valuable resources
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- and component-level development, integration and validation of antenna subsystems. Analyse experimental and simulation results and contribute to design iterations and technical problem solving. Work
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for CubeSat applications. Support system- and component-level development, integration and validation of antenna subsystems. Analyse experimental and simulation results and contribute to design iterations and
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methods that will help unlock the full potential of spatial omics data Base Salary, Level A $113,634 - $125,896 p.a + 17% superannuation About the opportunity The School of Mathematics and Statistics is
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constant-potential simulations, explicit-solvent methods, ab initio molecular dynamics or electrochemical-interface modelling. Pre-employment checks and declarations Your employment is conditional upon
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relative to career stage in high-quality peer-reviewed journals experience using relevant analytical techniques such as NMR, SEC, DSC, DMA, rheology or related methods evidence of the ability to undertake
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Postdoctoral Research Associate in spatial omics, artificial intelligence and computational pathology. The role will develop and apply computational methods for analysing kidney biopsy data, integrating
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for stability analysis. The project will investigate connections between the Maslov index and the Evans function, develop methods for systems with multiple timescales, and apply these techniques
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grant-funding applications. An interest in research aimed at reducing health system inequalities and improving cancer outcomes. High level statistical and data analysis skills in advanced analytic methods