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intermediate processes to restore DES composition for reuse. It will investigate the performance of existing DES(s) on mixed battery chemistries to propose a synergistic ionometallurgy design. Lastly, it will
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(https://www.bookbotkids.com/ ) is an AI-powered platform and app designed to enhance children’s reading engagement and fluency through interactive AI agents using advanced language models. About the
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with digital twin modelling, remote sensing, and cloud computing is valued, as is a commitment to learning and advancing in these areas. The successful candidate will have the ability to work with large
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on animal models of glioblastoma to evaluate the effectiveness of the selected DDS in tumour growth inhibition, survival rate, biocompatibility and brain targeting efficiency. Aims • Develop a novel and
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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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algorithms and deep learning models. Have proficiency in Python in a Linux environment and development experience using Tensorflow or PyTorch. Have strong linear algebra and computer vision knowledge. Have
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understanding the process? Visit our scholarship guide Application How to apply There is a two-stage application process. Before applying: Find a Potential Hosting Supervisor (Recommended this to be done before
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with qualitative methods Successful recipients must not be in receipt of any other scholarship Application process Please apply via the EOI form . The EOI form supports the submission of the CV, academic
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the relevant allied health professional regulatory authority Successful recipients must also not be in receipt of any other scholarship. Application process Interested clinicians, please contact us via the EOI
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to apply: Seismic wave propagation theory; seismic data acquisition and processing; signal processing, seismic imaging, geophysical inversion, scientific programming, reservoir modelling. Previous research