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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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Research Fellow - Future Fellowship Job No.: 679500 Location: Caulfield campus Employment Type: Part-time, fraction (0.8) Duration: 4-year fixed-term appointment Remuneration: Pro-rata of $118,974
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-symbolic (neural network) models? 2. How can the neuro-symbolic (neural network) models be trained that are robust to the optimiser’s curse? This project will be a part of the "Hierarchical Abstractions And
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Foundation and Monash University and works within the Monash Sustainable Development Institute. There’s a certain feeling you get from working at Monash University. It’s the feeling that you’re a part of
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Dowe, 1999a) ensures that - at least in principle, given enough search time - MML can infer any underlying computable model in a data-set. A consequence of this is that we can (e.g.) put latent factor
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Lecturer (Practice) in General Practice Job No.: 679081 Location: 553 St Kilda Road, Melbourne Employment Type: Part-time, fraction (0.5) Duration: Fixed-term appointment until 23 February 2026
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the Asia-Pacific region. As a PhD student of the Centre, you will be part of a team of researchers at the cutting edge of impactful international research across research themes including: disadvantage and
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. Application of artificial intelligence/machine learning to the big data from genetics and omics is well recognized in healthcare, however, its application to the data reported everyday as part of the clinical
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everyone is supported to succeed. Learn more about Monash . Be part of our story. Work with us to#ChangeIt . Monash supports flexible and hybrid working arrangements. We have a range of policies in place
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Communities, and Geopolitical Security – Monash is where impact begins. Join an environment that values curiosity, collaboration, and capability. Be part of a team that’s inclusive, diverse, and driven to make