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, scalable numerical algorithms for extracting the evolution model of the relevant dynamical skeleton, quantifying associated uncertainties. We will develop mathematical theory underpinning the novel
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Full time, 2-year fixed term opportunity, located at the School of Mathematics and Statistics on the Camperdown Campus Opportunity to contribute to research on hybrid numerical-exponential
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, sensing, and computing within a single unified network. These positions will involve advancing fundamental theories and the enabling technologies needed for simultaneous communication, sensing, computing
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related discipline): Computer Science, Artificial Intelligence, or Machine Learning Economics or Econometrics (particularly applied micro, behavioural, or decision-focused modelling) Applied Mathematics
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international research collaborations disseminate research findings. About you : An awarded or near completed Ph.D. in a relevant discipline (e.g., Physics, Mathematics, Computer Science, Cardiac
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Laboratory and Prof Andrew Doherty 's quantum theory group at the University of Sydney. In this role, the successful candidate will lead the experimental effort, including superconducting qubit measurements
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culture of the Sydney Algorithms and Computing Theory group (SACT) at the School of Computer Science. In addition, you will be given the opportunity to attend flagship theoretical computer science
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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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contribute to theory-driven intervention design to challenge essentialist beliefs and reduce prejudice collaborate with senior academic staff and contribute to research publications, presentations, and project