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to play a significant role in teaching in the Tooth Conservation in Simulation Clinic in the BOH program at the School of Dentistry of Faculty of Medicine and Health. The role requires a motivated clinical
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Opportunity Bring your cloud, automation and infrastructure expertise to this impactful role supporting secure and highly available computing environments. As part of the Platform Services team, you will play a
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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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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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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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Nuclear Science and Engineering Undergraduate Scholarship - Department of Defence | Australia | about 17 hours ago
Defence Force jobs Graduate Program Indigenous pathways Defence public service jobs Student pathways News & Events News & Events All news Navy news Army news Air Force news Media releases Newspapers Events About
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technologies research in AIBN and at UQ. You will have research expertise in the use of computational chemistry and software development, with the capacity to apply these methods to research questions related
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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...