32 cyber-physical-system-data-mining PhD positions at University of Adelaide in Australia
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-world data is often sparse, non-uniform, and noisy, making FEM challenging. This project aims to develop Physics Informed Neural Networks (PINNs) to address these issues by incorporating physical priors
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project. More information about University of Adelaide's Research Internships is available here . Application Process: To apply, please email the following documents to hdr_internships@adelaide.edu.au
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, and if synergy is established, the optimal NMC:LFP ratio will be also evaluated. Project 6.1: This project will develop processes to feed spent battery materials into an existing smelter. This process
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this advertisement before the closing date if a suitable candidate is identified. For further information For a confidential discussion regarding this position, contact: Dr Qi Zhang EBML-Australia Group Leader in
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internship project More information about University of Adelaide's Research Internships is available here . Application Process: To apply, please email the following documents to hdr_internships
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the closing date if a suitable candidate is identified. For further information For a confidential discussion regarding this position, contact: A/Prof. Robin Hobbs School of Biomedicine E: robin.hobbs
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-breaking research and innovative teaching. You can learn more about Adelaide University HERE and more information will be provided throughout the recruitment process. Enjoy an outstanding career
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tracking blood glucose responses to meals and lifestyle factors, the project will identify individual patterns and predictors of glucose variability. Using this detailed data, tailored dietary
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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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The National Industry PhD Program is an Australian Government initiative to enhance workforce mobility among graduate researchers, and to promote knowledge transfer between academia and industries