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, including data collection, analysis and documentation. Identifying and resolving technical issues and contributing to continuous improvement initiatives. Ensuring compliance with laboratory protocols, quality
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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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infrastructure, public safety and smart environments. The successful candidate will be supervised by Dr Deval Mehta within the Department of Data Science & AI, Faculty of Information Technology, Monash University
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through theory and simulation and/or experimental design and testing; developing new image reconstruction algorithms for providing more information with less radiation; and applying our techniques
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recognised Adolescent Brain Cognitive Development (ABCD) study. As a Research Fellow (Level A or B), you will process and analyse large-scale neuroimaging data, contribute to high-quality publications and
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increasingly rely on digital systems to issue, store, and verify qualifications, new risks arise—ranging from data breaches and identity fraud to profiling and surveillance through credential verification logs
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reconstruction and data analysis. The PhD students will be working at Monash Biomedical Imaging and Faculty of Information Technology, Monash University. Monash Biomedical Imaging is one of the most advanced
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, scientific computing, automated data analysis, or computational modelling. Candidate Requirements Applicants will be considered provided they fulfil the criteria for PhD admission at Monash University. Details
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oversight and commercial management - directing annual budgets, forecasting, financial analysis and client agreements to ensure long-term viability and growth. A critical element of this role involves
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-disciplinary team of clinician scientists and computer scientists to develop diagnosis/predictive/treatment/robotics surgery models of diseases of interest using multimodal medical data, consisting of images