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responders are at increased risk of poor mental health outcomes. If we achieve similar findings to the university study, this model will reduce suicidal intentions and behaviours in first responders by 42%. It
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will work closely with project collaborators. One role will also include use of an in vivo mouse model of Cryptosporidium infection. Eligibility: Applicants are encouraged from Australian citizens
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The PhD candidate will gain intensive knowledge in innovative processing protocols for chemical sensing and to develop data acquisition system with the Machine Learning (ML) and/or Deep Learning (DL
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This scholarship is jointly funded by a leading computer vision company in Australia and the STEM College of RMIT University. The research includes investigation into automated product quality
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role supports the development of a novel nanophotonic therapy to treat drug-resistant hypertension—a major and growing global health challenge. The successful candidate will focus on synthesising
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-tracking, pupillometry), cognitive modelling, and regulatory analysis to assess how algorithmic explanations shape human judgement and how existing legal and ethical frameworks align with the evolution
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Ben Boyd and has a focus on understanding the impact of structure in materials on their processing by the body, with a view to understanding the link between structure and function in drug and nutrient
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. This will deliver an accurate model of inductively heated polymer melt-flow processing in larger scale systems. A short horizon to very significant impact is likely. An expanded understanding of these very
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, causing poor rates of asymmetric redox reactions or poor ability to detect chiral analytes. Chirality is as powerful as it is elusive: we do not have accurate models to explain and predict, especially
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stiffness by changing their composition and self-assembly process. The relationship between nanoparticle structure and stiffness will be determined both through experimental and modelling approaches. Finally