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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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of the following would be useful: stakeholder engagement, (IT) system design, basic web programming, and technology evaluation. Experience in Indigenous and qualitative research methods is desirable, and Indigenous
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for a rewarding career in healthcare. MNM is dedicated to enhancing our capacity to lead innovative nursing curricula and pioneering teaching methods. For more information, visit: www.monash.edu/medicine
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: ○ Where does geographical lack of data about the Birrarung make it hard to estimate its state? ○ How can we best supplement lack of data: by citizen science, new instrumentation, or modelling methods
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Discovery Project, this research aims to develop highly novel physics-informed deep learning methods for Magnetic Resonance Imaging (MRI) and Positron Emission Tomography (PET) and applications in image
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of honours students with rigour, warmth and empathy. At the time of his sudden passing, Dr Booth was supervising an honours student and two PhD students. Dr Booth was a mentor and friend to countless
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We are excited to offer a fully funded PhD position at the Faculty of Engineering, Monash University (Australia). This project focuses on developing new algorithms to equip social robots with
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automated recovery algorithms, improving system resilience. Research Areas for Master’s and PhD Students AI-Enhanced Resource Forecasting and Optimization: Research Focus: Developing and testing ML algorithms
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DNA or RNA motif discovery is a popular biological method to identify over-represented DNA or RNA sequences in next generation sequencing experiments. These motifs represent the binding site
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learning is vulnerable to spurious correlations, novel causal discovery and inference methods will be developed to identify and reason over causal relationships among all associations from fused data. As the