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Current reseach is in the areas of: Development of biomimetic structures as ultrasound contrast agents Deep tissue imaging using photoacoustic contrast agents All optical photoacoustic sensors for tomagraphic imaging in tissue Neural network correction of distortions in acoustic transducers web...
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/admissions/entry-requirements/minimum . Candidate Requirements Undergraduate honours degree or Master's by research degree in a relevant discipline (Computer Science, Robotics, Engineering or others related
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I am interested in the most catastrophic and explosive collisions in the Universe, such as the mergers of neutron stars and black holes. I study these using both gravitational waves and electromagnetic signatures, primarily focussed on linking the data from these exciting experiments with our...
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For better or for worse, Generative AI is changing our world. A key challenge in Generative AI is many-shot jailbreaking—where a language model, despite being explicitly trained to reject harmful or unethical responses, can be manipulated into producing them when provided with a large enough...
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comprising one or more of: a bachelor’s honours degree in a relevant discipline (computer science, software engineering), which includes a research thesis or project, with an overall average grade equivalent
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you should fulfil the eligibility requirements for Monash HDR candidates. For this particular position you must also have an undergraduate or postgraduate qualification in Computer Science or related
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Australian Research Council (ARC) Funded PhD Opportunity at Faculty of Engineering: High-Speed Rail and Sustainable City Sizes in Australia Location: Clayton campus Department/Unit: Monash Institute of Transport Studies, Department of Civil and Environmental Engineering Employment...
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PhD scholarship opportunity: Bias in generative AI-driven decision systems Job No.: 680086 Location: Caulfield campus (with possible collaborations at the Clayton campus as needed) Employment Type: Full-time Duration: 3-year fixed-term appointment Remuneration: The successful applicant will...
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Roentgen’s Nobel Prize-winning discovery of X-rays enabled us to non-destructively image inside the body, birthing medical diagnostic imaging and revolutionising materials characterisation
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malfunction and is associated with high morbidity and mortality. Current imaging techniques of fibrosis are indirect and possess substantial limitations, hence the medical need for accurate and sensitive