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privacy constraints, robust solutions are essential. This PhD project will develop methods for building reliable medical imaging models that generalize across distribution shifts without retraining
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strong out-of-distribution generalization capability [2]. If user-specific information is identified and removable from the input data, the devised techniques can also be applied for privacy-sensitive
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community Be surrounded by extraordinary ideas - and the people who discover them The Opportunity Monash University MAVERIC is a next-generation, high-performance compute platform and AI supercomputer
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Federated learning (FL) is an emerging machine learning paradium to enable distributed clients (e.g., mobile devices) to jointly train a machine learning model without pooling their raw data into a
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is highly complex. For the proposed PhD project, experimental data are already available that bring together maps of orientations of such crystals together with the deformation pattern generated during
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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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-Kolmogorov complexity (Wallace and Dowe, 1999a), it is possible to (e.g.) create a general hybrid of (none, some or) all of the above methods - and then (if we wish) to generalise that even further
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program participants to ensure a seamless training experience. Working across multiple streams of activity, the role oversees training logistics, prepares and distributes materials, coordinates venues
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education that prepares the next generation of occupational therapy professionals. Lead. Inspire. Transform. The Department of Occupational Therapy at Monash University is internationally recognised for its
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learning approaches to enable multi-site collaboration while preserving patient privacy. This ensures more generalized and reliable reconstruction models that can adapt to diverse data distributions