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data requirements, and lower costs for large-scale modelling tasks. PINNs enhance predictive capabilities and efficiency by combining data-driven methods with physical principles. Unlike traditional
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the application of noise over a large number of distributed models. These issues should be overcome by developing robust and feasible mathematical models for differential privacy by investigating the data dynamics
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proof-of-concept data to show algae can be consumed by humans in large enough boluses to provide meal-like amounts of protein and various micronutrients (van der Heijden et al. 2023b; van der Heijden et
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age-friendly services and practices. The PhD will provide the candidate with skills in epidemiology, big data analytics, health services research, and knowledge translation. It will provide skill
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immune responses to promote T cell-mediated tumour clearance. Methods: The laboratory uses world-class big-data omics analysis of blood immune cells, including RNAseq, epigenetics, multicolour
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of better prevention and public health policies in rural and remote areas. This position will contribute to the design of qualitative research components, coordinate qualitative data collection from rural
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Kerryn Butler-Henderson via kerryn.butler-henderson@rmit.edu.au by 31 October 2022, with: A cover letter - outlining interest and alignment with the proposed research (see Further Information) A copy of
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, epidemiologists, qualitative researchers, pharmacists, Aboriginal health practitioners, consumer representatives). As part of a large NHMRC study, the successful candidate will work with the project coordinators
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-reality application development; modern AI techniques (such as computer vision or large multimodal language models); and/or human-computer interaction. Our industry partners are developing software
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as well, resulting in increased survival. Methods: The laboratory uses world-class big-data omics analysis of blood immune cells, including RNAseq, epigenetics, multicolour flowcytometry (up to 27