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) with the following information to discuss eligibility: An academic CV that includes any publications/awards and the contact details of two referees A copy of electronic academic transcripts. A cover
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, supported by the Monash e-Research Centre, for high-performance transport and land use modelling. World-class transport modelling and simulation platforms (Driving Simulator, Data Visualisation Lab
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) and computer simulation (FEA) Experience in material characterisation and experimental testings Knowledge in impact dynamics Passionate and have interest in pursuing PhD degree. Experience in research
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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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seismic data to produce 3D geophysical models that will constrain the subsurface extent of rock units that might be suitable for hydrogen generation via radiolysis and/or serpentinization and identify
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other national, international longitudinal studies, and administrative data sets, to examine the mechanisms and processes of key social and emotional core competencies that can be cultivated in schools
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, security, and/or machine learning are preferred. To apply, please submit the following documents to Dr Hai Dong (hai.dong@rmit.edu.au). Expressions of interest should contain the following information: A one
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developing robust and feasible mathematical models for differential privacy by investigating the data dynamics (IID and Non-IID) of distributed machine learning. Besides, trustworthiness is another major
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Status: Closed Applications open: 1/07/2024 Applications close: 18/08/2024 View printable version [.pdf] About this scholarship Description/Applicant information Project Overview A reliable
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Entrepreneurship. We are committed to a differentiated university proposition in education and research. To Apply Please submit your CV and cover letter addressing your suitability for this position. To review