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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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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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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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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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the brain, and behavioral development. Basic Qualifications Successful candidates will have recently obtained a PhD. in a relevant field including, but not limited to, neuroscience, biology, and psychology
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coherent research program and emerging research profile, using best-practice methodologies. 2. Supervision and Researcher Development Supervise Honours and HDR students and support researcher development
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-of- origin–specific manner—and its critical roles in brain development, growth, behavior, and learning. The significance of imprinted genes is underscored by the diverse neural and behavioral
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. They will also have the opportunity to work on other problems related to global atmospheric chemistry, air quality, and model development. Basic Qualifications Ph.D. in atmospheric science and substantial