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You will explore the nature of metal corrosion inhibitor interactions through advanced molecular modelling and integrate this understanding into the formulation of evolutionary algorithms
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focuses on developing the first-ever closed-loop cardiopulmonary resuscitation (CPR) feedback device. The device uses non-invasive sensors to measure blood oxygenation in the brain and tells the CPR
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to incorporate diamond quantum sensors into other materials like glasses and polymers to add sensing functionality to optical fibres and polymer-based bioscaffolds.The project involves the processing and
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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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the development of new algorithms for processing, analysis and inversion of active and passive seismic data and the application of these algorithms to field data. Student type Future Students Faculties and centres
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are working with a PhD student and a research fellow who have collected underwater data and preliminary algorithms. With their guidance and supervision, project aims and objectives are expected to be achieved
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research translation and industry engagement through the development and application of digital, robotics and sensor-based technology to address key challenges in ageing, which are to enhance cognition
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(University of Adelaide). Project 1.4. Quantum biosensor development (University of Adelaide). Project 1.5. Quantum chemical sensor development (University of Adelaide). Project 2.1. Superconducting quantum
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and polyploid crop species and benchmark them against other methods such as graph-based methods. This project will combine algorithm development and computational programming with large population
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. The organisation is currently working on research project(s) related to the release of a new digital product that conducts optimisation of AI algorithms for sustainable home retrofitting solutions. Opportunity