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. This opportunity is designed for an ambitious researcher seeking to establish an independent research program and transition towards leading their own laboratory within the next five years. Working within a
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, stochastic modelling or a closely related quantitative discipline. Demonstrate strong expertise in stochastic optimisation, including experience applying advanced methods to complex modelling problems. Bring
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skills Advanced computational skills, including demonstrated ability to wrangle large text-based datasets and perform numerical simulations Our commitment to inclusion and diversity We are committed
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of Mathematics and Statistics, Camperdown Campus Develop statistical and computational capability for multi‑omics data analysis and drug discovery Base Salary Level A/B $ $117,936 - $157,381 p.a + 17
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-shear rheometry. Bridge Theory and Practice: Develop and validate cutting-edge theoretical and numerical models connecting suspension mechanics to gravity separation performance. Collaborate and Impact
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MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA | North Ryde, New South Wales | Australia | about 9 hours ago
) Application Deadline 17 Oct 2026 - 00:00 (UTC) Country Australia Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the
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experience with relevant instrumentation, computational methods, or modelling tools specific to your subfield. About Monash University At Monash , work feels different. There’s a sense of belonging, from
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, stability/perturbation theory/rigorous numerics. Possible applications of the new theory include the analysis of spatiotemporal data arising from weather and climate observations/models and from models
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statistical and computational methods publish findings, present at conferences, and contribute to grants, ethics submissions, and research reporting build collaborations, translate research into clinical
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ongoing code development. Show interest or experience in quantum-inspired or quantum computing methods relevant to data analysis and modelling. Thrive in multidisciplinary teams, managing multiple tasks and