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Multiple PhD Scholarships available - Cutting-edge research at the frontiers of Whole Cell Modelling
to modulate protein translation. This project will use RNA cross-linking technology to understand all of the RNA-mediated control elements that contribute to the system of regulation that links metabolic needs
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Bachelor of Medical Science and Doctor of Medicine Imogen This scholarship has contributed to my achievement of publishing my first paper as well as hosting lectures. These experiences will help as I work
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overall, with no less than 6.0 in each component How to apply For general instructions on how to apply for roles at Monash, please refer to 'How to apply for Monash Jobs '. To express your interest in
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software such as redcap, R, python. Experience in clinical trial management and coordination, including regulating clinical research with a large human subjects component. Strong knowledge of ICH Guidelines
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: Full-time Graduate Research Degrees: E8009 - Doctor of Philosophy (Monash - Bayreuth) Duration: 3.5-year fixed-term appointment Remuneration: AUD 36,063 per annum (tax-free stipend) (2025 rate) Monash
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) Number offered Variable (Depending on funding) See details Bachelor of Medical Science and Doctor of Medicine Imogen This scholarship has contributed to my achievement of publishing my first paper as
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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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such systems are limited to the learning errors due to the neural component. In this Ph.D. project, you will be exploring the use of Lipschitz Continuous Neural Networks to learn Lipschitz-bounded neural models
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such systems are limited to the learning errors due to the neural component. In this Ph.D. project, you will be exploring the use of Physics-Informed Neural Networks to encode the symbolic knowledge
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resources to avoid downtime, adjusting dynamically as traffic fluctuates. For researchers and students, this component focuses on developing ML models to predict resource needs, improving load distribution