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neuroimaging (particularly functional) is required, and ideally the candidate will have experience in linking imaging methods with cognitive, neurobiological or computational modelling frameworks. Your key
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sedimentology, paleoecology, paleoclimatology, numerical modelling, relational database design, and geological data science a strong track record of publications in leading international scientific journals (Q1
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within the district boundaries, as well as many more from rural and remote parts of NSW and Australia. SLHD is widely recognised as a leader in research, education and developing innovative models of care
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algorithms and methods for adaptive and personalised feedback, modelling learning behaviours with sequence and deep learning methods, and generating interpretable insights through novel analytics and
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fish sampling, baited remote underwater video and acoustic tracking. These data will be used in a metapopulation modelling context to better predict the effects of habitat modifications and loss
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out important research with the goal of enhancing knowledge, clinical practices, and care models, focusing on: • Research to enhance child health, well-being, and development • Building equitable health