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, machine learning, and image processing techniques Strong candidates with electrical, mechanical, and biomedical engineering backgrounds can also apply. To be eligible for this scholarship, you must: Meet
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biomedical applications. This project will involve studying the structural properties of lipid nanoparticles, modifying particle stiffness by changing their composition and self-assembly process. The
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. Your project will explore Stream Finishing, a cutting-edge surface engineering technology that offers unmatched precision and control over traditional methods. You’ll investigate how process parameters
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desirable. The successful applicants must be enrolled on a full-time basis and cannot hold any other scholarship. Application process Please send your CV and a very brief rationale [2-3 paragraphs, maximum
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interactions. Machine learning: reinforcement learning, or multi-agent systems. Signal processing: spectrum sensing, localization, or radio environment modelling. Multi-agent systems: distributed intelligence
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not progressed beyond the proof-of-principle. Templating chirality on the surface of stable and common conductors, such as engineered nanoscale three-point chiral kinks on platinum and copper, is not a
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Ben Boyd and has a focus on understanding the impact of structure in materials on their processing by the body, with a view to understanding the link between structure and function in drug and nutrient
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the following knowledge and/or experience are highly preferred: Computer Vision, Signal Processing, Machine Learning knowledge and/or; Experience Industry knowledge and/or; A track record of published
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to biomedical applications. Students will have access to our X-ray imaging laboratory in the New Horizons Research Centre for developing new technology. We also regularly perform experiments at the Australian
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will help increase the material recovery rate in the LIB recycling process and reduce waste and carbon footprint in the battery value chain. By returning waste to battery manufacturing, the project will