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This PhD project is part of a larger project that aims to explain the uncertainty of Machine Learning (ML) predictions. To this effect, we must quantify uncertainty, devise algorithms that explain
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PhD Scholarship This project aims to improve rare earth element recovery by designing peptide-polymer composites inspired by lanthanide-binding proteins using machine learning and computational
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Vibrant campus life with a strong sense of community & inclusion Enjoy a career that makes a difference by collaborating & learning from the best At UNSW, we pride ourselves on being a workplace where the
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institute that has developed an innovative collaboration research model, which seeks to create knowledge and influence thinking so that people can lead healthier lives. ISCRR conducts and facilitates research
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flexible paid engagement models. The TTS is a first-of-its-kind approach in Australia, fundamentally transforming how universities like UNSW collaborate with industry to deliver meaningful, real-world impact
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This research project aims to address the critical need for privacy-enhancing techniques in machine learning (ML) applications, particularly in scenarios involving sensitive or confidential data
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Statistics for the Australian Grains Industry 3 (SAGI3). Investment. The University of Adelaide, in collaboration with Curtin University and The University of Queensland, is leveraging machine learning, data
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healthcare, finance, environmental monitoring, and beyond. While recent advancements in foundation models have shown tremendous success in NLP and computer vision, the unique characteristics of time series
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deliver a wide range of administrative and support services critical to the effective local delivery of the medicine program. These teams operate within a client focused service model supporting academics
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business needs and document business requirements. Develop financial models to support cost-benefit analysis and identify potential risks and recommend mitigation strategies. Work with cross-functional teams