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Associate: Physics- Informed Data Driven Windfarm Modelling For this position the research activity will apply and advance on fast CFD methods for full wind farm simulation based on Large-Eddy-Simulation
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developing, evaluating or translating mental health interventions and/or experience in analyses of mental health data involving large samples, including data driven approaches. Demonstrated ability
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responsibilities include maintaining and managing a large mouse colony and contributing to manuscript preparation and conference presentations. This role requires significant independence in experimental planning
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undertaking independent and or team research on Scientia Professor Buckley’s Australian Research Council (ARC) Laureate Research Program entitled “The Financial Data Revolution: Seizing the Benefits
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and methods for analysing and harmonising large-scale single-cell and spatial cell data. This position offers an exciting opportunity to shape the future of computational approaches in precision
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places you’ve worked. Yes, we’re a large organisation with a diverse and talented community; a community doing extraordinary things. But what makes us different isn’t only what we do, it’s how we do it
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responsible for designing and implementing novel phenotyping protocols, utilising drone and hyperspectral imaging technologies to capture high-resolution phenotypic data and analysing large datasets to uncover
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The Post-doctoral Researcher will be involved in the analysis of large-scale genomic data, with a focus on whole genome sequencing, through the appplication of best-practice bioinformatics workflows and the
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the cost of storage at scale, without significant loss. The most economically viable options for large-scale hydrogen storage are underground, within solution-mined or engineered caverns and depleted
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– including use of specific substances, substance use disorders, and injecting drug use – among trans and gender diverse people. We have a large, energetic team already established for this work, and the