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data-driven modelling methods for renewable energy integration. Research Outputs and Funding: Publish high-quality research outcomes, contribute to milestone reports, collaborate on competitive research
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focused on the development and application of recycled and waste-derived materials for advanced engineering systems. The role will emphasise computational modelling, simulation, and data-driven approaches
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transition to Net Zero. You will be responsible for developing novel numerical methods to model continuum problems in a two-liquid/granular medium and for interpreting the results physically. These models will
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staff recruited to the project and establish effective working relationships with the Chief Investigators, Joint Coordination Committee and other project members and work with the AI Modeller and ensure
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using established rodent models. The role will involve designing and conducting sophisticated in vivo experiments, with a particular emphasis on wireless EEG/EMG telemetry recordings, behavioural
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mechanics, molecular modelling, and/or quantum thermodynamics would also be beneficial. Evidence of quality publications in reputable refereed journals and experience presenting at conferences. Evidence of
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heterogeneous data (free text, structured records, images, audio), including locally hosted and fine-tuned large language models computer vision for biological and medical imaging, including three-dimensional
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the Laboratory, the role will undertake high-quality experimental research using a range of molecular, cellular and animal model techniques to advance the understanding and treatment of cancer. Working
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, including mixed effects, survival, growth curve and prediction models, to research in neuropsychology, epidemiology, neurodegenerative disease and cognitive disorders. We are seeking someone with a doctoral
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experience with relevant instrumentation, computational methods, or modelling tools specific to your subfield. About Monash University At Monash , work feels different. There’s a sense of belonging, from