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University of New South Wales | Canberra, Australian Capital Territory | Australia | about 17 hours ago
, e.g., simulation-optimization and simulation-machine learning will be an advantage. Demonstrated track record in research with outcomes of high quality and high impact with clear evidence of the desire
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University of New South Wales | Canberra, Australian Capital Territory | Australia | about 17 hours ago
favourable learning outcomes and enhance employability. Who You Are: Our ideal candidate will have: A PhD in the discipline of systems science or systems engineering to the design, architecting and analysis
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of innovative machine learning methods. The Senior Research Associate will drive the direction of research within this broad area and collaborate with others in the ARC Centre of Excellence for Weather of
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developments in scientific machine learning, which blends data-driven learning and physics-based modelling. The whole project will make a significant contribution to uncertainty quantification, and should
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life with a strong sense of community & inclusion Enjoy a career that makes a difference by collaborating & learning from the best At UNSW, we pride ourselves on being a workplace where the best people
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community & inclusion Enjoy a career that makes a difference by collaborating & learning from the best At UNSW, we pride ourselves on being a workplace where the best people come to do their best work
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knowledge of transport planning, transport modelling, active transport, and/or travel behaviour study. Experience with machine learning, spatial analysis, and/or software engineering would be a plus
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knowledge in statistics and related machine learning concepts to make complex deep learning models with 2D and 3D time series data. Possess strong computational and statistical skills, with experience in