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an important part of a Monash AI institute collaboration between the Arts and IT faculties around technology for orientation and mobility for Blind and Low Vision people. The PhD project will undertake
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prestigious Group of Eight, Monash is a powerhouse of research innovation. Its Department of Materials Science and Engineering ranks second nationally, driving breakthroughs in advanced materials, polymer
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engineering. Experience with experimental measurements, image-based diagnostics, laboratory testing or quantitative data analysis. Coding and analysis capability in Python and/or Julia, preferably with
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? Moving from RISE’s initial 12 pilot settlements to nationwide implementation requires robust, adaptable engineering solutions. Building on monitoring and performance data from existing sites, this research
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and Evidence-to-Decision frameworks · Use and evaluation of digital guideline platforms (MAGICapp) · Implementation science and knowledge translation in rheumatology
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immunocompromised populations; and providing evidence to inform national health policy. Ideal For: Candidates with an interest or background in biostatistics, epidemiology, data science, or public health registry
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Expanding access to digital health The successful candidate will receive training in applied microeconometrics, health economics, environmental economics, discrete choice experiments, administrative data
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for infrastructure platforms in minerals-to-green metals transformation. It will suit a candidate interested in combining experimental materials science, advanced characterisation, and data-driven modelling to develop
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(or delegate); and Relevant disciplines include health economics, labour economics, economics, econometrics, and other quantitative fields such as data science, mathematical statistics, health policy, public
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AI infrastructure. The Opportunity This is an unprecedented opportunity for an outstanding data science and AI PhD candidate interested in brain data analysis and AI, supervised by Dr Mahsa Salehi