6 health-informatics PhD positions at Swinburne University of Technology in Australia
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mechanisms and transformer models. Qualifications Bachelor’s degree with First Class Honours (or equivalent) and/or a research master’s degree in computer science, AI or Computer Vision; or an equivalent
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to peer-reviewed academic publications Qualifications Completed undergraduate degree in physics, computer science, machine learning, computational modelling, or similar. About Swinburne University
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opportunity funded by the Victorian Institute of Forensic Mental Health (Forensicare) for a project examining the efficacy of Forensicare regional forensic mental health teams as they are implemented across
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Scholarship We have an exciting Doctoral Scholarship opportunity funded by the Centre for Forensic Behavioural Science, Swinburne University of Technology and the Victorian Institute of Forensic Mental Health
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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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biomedical science, offering the opportunity to work closely with a collaborative team dedicated to solving real-world health problems. You’ll gain experience with state-of-the-art optical and thermal