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manuscripts. Contribute substantially to grant development, particularly NMRC and other national or international funding schemes, through study design, analytics planning, and generation of compelling
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the day-to-day coordination of the project, conducting data collection with children, and contributing to the development of machine learning and deep learning models for early prediction. The research
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join our dynamic research environment at the forefront of translational genomics. The appointee will be situated within the Genomic Informatics group which forms part of the Human Development and Health
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, data collection, analysis, and QA/QC for existing measurements as well as development of data collection and analysis procedures for a suite of new instruments. You will also gain experience in designing
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the design, development, deployment and evaluation of NeoShield’s applied machine-learning systems, the machine-learning-driven Clinical Decision Support Algorithm for neonatal sepsis and the real-time ward
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modeling and simulations (e.g., DFT, MD, AIMD) to provide molecular-level insights into polyamide interfacial polymerization, interfacial structure evolution, and transport mechanisms, in close integration
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research findings through high-quality publications in top-tier venues. Supervision and Researcher Development: Contribute to the effective supervision of Honours and Higher Degrees by Research students (as
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modelling, onboard microgrids, and energy management systems. Contribute to the delivery of project milestones across modelling, EMS development, HIL validation, and system optimization. Support documentation
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prevention including the development and validation of risk prediction models; and clinical implementation research of targeted screening and behavioural interventions to increase cancer screening relevant
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inflammation and its role in breast cancer risk and progression. Major approaches include: Preclinical studies using mouse and rat models of obesity-associated tumor development. Evaluation of lifestyle and