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-culture, single-cell RNA sequencing, data analysis and in vivo models—to interrogate B cell responses in human samples and pre-clinical systems. This research aims to generate mechanistic insight
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density) influence energy dissipation develop mathematical models to predict and explain these effects collect and analyse data, including with the use of machine learning use this knowledge to design
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physiological experiments including whole-body plethysmography, blood pressure radiotelemetry, electrophysiological nerve recordings, and chemogenetic and optogenetic manipulation in mouse models. Contributing
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requirements definition, CAD/FEA modelling, multi-objective optimisation (e.g., DOE/GA/surrogates), prototype build, and laboratory validation. Track record of peer-reviewed publications (e.g., IEEE and IET
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well as the opportunities and challenges for future supply. Anticipated outcomes include an understanding of how the emergent policy context will shape student housing delivery and trace the potential for new models
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-aneutronic fusion energy reactor concepts. For HB-11 Energy, the results will directly inform the company’s technology roadmap and contribute to balance-of-plant modelling to assess economic viability
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MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA | North Ryde, New South Wales | Australia | about 2 months ago
or observing programmes Machine learning in physical science, especially with transformer models Jax, PyTorch, and/or Julia; with probabilistic programming languages; or with high-dimensional optimization and
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scale-up modelling Integration of strain performance, sustainability, and techno-economic constraints You will work closely with strain engineers, students, and collaborators in a highly integrated team
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productivity, including peer-reviewed publications and the ability to contribute to high-quality experimental and clinical research programs Experience working with models of care of physiotherapists as first
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programs—ranging from national infrastructure to major technological rollouts. The project focuses on developing intelligent decision architectures, predictive analytics, and adaptive computational models