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Martin Australia invite applications for a project under this program, advancing robotic perception systems through monitoring of their machine learning models. Run-Time Monitoring of Machine Learning
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This PhD research scholarship (Learning Lessons from Drug Resistance to Tackle Herbicide Resistance) is funded by the Australian Research Council to support a full-time PhD student to undertake
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influence motor system function and learning in healthy people of different ages. This cutting-edge approach will provide new information on the neurophysiological basis of synchronised brain oscillations and
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datasets to research homeowner behaviour, retrofit impact, and solution provider efficiency. Expected outcomes include: Contribute to the product release to early adopters Contributing to life-changing
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record (including peer-reviewed publications and conference presentations) and demonstrated ability to conduct independent research. Experience with primary cell culture (e.g., stem cells, organoids
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into fundamental molecular events. At the same time, access to translational pipelines will enable the candidate to apply their learnings in a meaningful way, revealing novel therapeutic targets critical for cancer
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educational powerhouse that fosters economic and social wellbeing through ground-breaking research and innovative teaching. You can learn more about Adelaide University HERE and more information will be
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conduct toxicity tests and life cycle assessments (LCA) to evaluate the feasibility of the ionometallurgy process. For DES restoration, this project will introduce in-situ HBD addition to improve
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Statistics for the Australian Grains Industry 3 (SAGI3). Investment. The University of Adelaide, in collaboration with Curtin University and The University of Queensland, is leveraging machine learning, data
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conduct detailed, multiscale structural and geomechanical characterisation of a major crustal fault system to quantify the connectivity between potential hydrogen source and reservoir rocks and assess