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sections, incorporating uncertainty quantification into AI/ML models and providing useful information in aid of UQ in AI/ML models to discern patterns in physical properties. The position will be highly
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engineering. About the opportunity Play a key role in advancing the AuScope Geochemistry platform ‘EarthBank’ at UWA. Contributing to new and existing analytical datasets and data models, improving
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methods for monopiles and validating models through centrifuge testing. Contribute to research dissemination through publications, conferences, and supervision of students. About you PhD or equivalent
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data. Apply knowledge in a way which develops new intellectual understanding. Contribute to developing new models, techniques and methods as required by their research project. Present research outputs
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quality modelling approaches to analyse the flow interactions between sewer discharge of surface runoff, as well as the dynamics of pollutants and pathogen propagations associated with water movements. The
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interdisciplinary research group with both experimental activities and numerical modelling. The PhD candidate’s tasks will primarily be to model and simulate CO2 hydrate sealing in sediments but also to take part in
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leveraged to accelerate learning from both classical and quantum data. The project will develop rigorous theoretical frameworks to understand key properties of quantum machine learning models—expressivity
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. This is a grant funded position. Key Responsibilities Designing and executing cutting-edge experiments using cell lines, ex vivo cultures, and genetic mouse models. Lead collaborative projects, contributing
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, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and grow'. We welcome you to join our community
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students on research related work and provide guidance to PhD students where appropriate to the discipline Contribute to developing new models, techniques and methods Undertake management/administration