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discounts – fitness passport access, free yearly flu vaccinations, discounted health insurance, and access to our Employee Assistance Program for staff and their immediate family UQ Study for Staff On campus
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, containerisation (Docker), and basic bioinformatics pipelines will be preferred. Cross-disciplinary training and co-supervision with computational and neuroscience partners under GEMS 2026 will be provided. Project
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research Eligible student type Domestic and international students Eligible study stage Current study, Alumni Benefit duration One or more years Summary The Branco Weiss Fellowship is a postdoctoral program
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diverse learning experience within the JD program. Applications See below Total scholarship value Tuition fees paid Number offered Variable See details Dylan Thomas Glatz Monash Juris Doctor Law Dean's
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My research focuses on the dramatic final stages of massive stars, exploring how they end their lives as gamma-ray bursts, supernovae, and kilonovae. To unravel these mysteries, I employ a combination of multi-wavelength observational data with sophisticated simulations. I am a member of various...
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I am an ARC Future (former DECRA) Fellow and lead the Structured Nanophotonics Group at Monash University. My research in nanophotonics explores the full potential and multi-dimensional nature of light, focusing on controlled light-matter interactions at the nanoscale. Driven by the fascinating...
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that addresses critical challenges in healthcare. As the successful candidate, you will bring: Essential criteria: Masters (or Honours) in computer science, data science, biomedical engineering or neuroscience
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You must meet the following criteria: Hold or about to complete an undergraduate degree or equivalent qualification recognised for admission to the Monash Juris Doctor Program. Intend to enrol
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Many machine learning (ML) approaches have been applied to biomedical data but without substantial applications due to the poor interpretability of models. Although ML approaches have shown promising results in building prediction models, they are typically data-centric, lack context, and work...
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Seizure prediction algorithms will be developed using the one-of-a-kind ultra-long-term human intracranial EEG dataset obtained from the Neurovista Corporation clinical trial of their Seizure Advisory System, or data from other implantable or wearable devices. This involves consideration of both...