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opportunity The School of Mathematics and Statistics is currently seeking a Postdoctoral Research Associate in the development and application of hybrid numerical-asymptotic methods to nonlinear systems. Your
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to the development of new concepts, methods, and scalable systems for networked digital twins that support autonomous decision infrastructure for adaptive action with human oversight. This project is part of
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manufacturing sector through intelligent automation, technology innovation, and workforce development. This collaborative project will advance the next generation of wear- and corrosion-resistant metal matrix
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experimental effort, including superconducting qubit measurements, development of a cryogenic cosmic-ray detector, dilution refrigerator operation, and nanofabrication of radiation-resilient qubit designs, with
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intensive and has a strong tradition of research-led teaching. The School offers undergraduate majors in computer science, information systems, data science and software development within its flagship
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; inclusion and diversity; and respect and integrity. As such, we see the importance of recruiting talent aligned to these values and are looking for a Postdoctoral Research Associate - Photonics who has: a PhD
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of the selection criteria below. About you Completed PhD or near completion (within 6 months) in Psychology, Public Health, Behavioural or Social Sciences, or related field; Proven experience conducting research
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. Essential qualifications and experience a PhD (or near completion) in one of the following fields (or a closely related discipline): Computer Science, Artificial Intelligence, or Machine Learning Economics or
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decision-making processes evolve, stabilise, or degrade in complex socio-technical systems. Essential qualifications and experience a PhD (or near completion) in one of the following fields (or a closely
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us in the development new evidence, guidance and standards for infection prevention and control programs and practice in residential aged care. While considerable efforts for improving infection