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This project will advance automated technologies for machine vision sensing of plant health in Controlled Environment Agriculture (CEA), for example in vertical farming systems. CEA is projected
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record in medical research and innovation. The project will benefit from access to advanced computing facilities and specialized software for deep learning model development and CT scan analysis
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multiphase flow challenges related to the flow characteristics during cyclic injection processes using microfluidic experiments and pore-scale modelling. You will gain access to the advanced microfluidic
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Using finite element modelling (FEM) to simulate different hole configurations and validating these models with cadaveric femur specimens, this study will provide crucial insights to optimise
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Do you have outstanding skills in advanced mathematics? Are you interested in quantum physics, general relativity and fundamental physics? If so, you may be right for this project. RMIT Physics, in
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burden. This PhD project will be part of or augment a larger NHMRC Investigator Grant project ('Better feet, better lives') that aims to develop better predictive models that help identify people with
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surfaces, the project expects to highly simplify the design procedure, antenna structure, and active beam-forming electronics. By using advanced aerospace compatible manufacturing, the metasurface antennas
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significant challenges. Your project will aim to solve these coupled chemo-mechanical problems through in situ characterisation and advanced modelling technologies. The expected outcomes will help develop next
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, the internal workings of deep neural networks remain largely mysterious, posing a significant challenge to the interpretability, reliability, and further advancement of these models. This project seeks deep
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-style interventions, and preventative medication. Analysis will utilise best practice in health inequalities measurement, modern econometric techniques, behavioural experiments, and modelling