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Postdoctoral Research Associate in Computational Modelling and Design Optimisation to work closely within a multi-institutional team comprising HDR and Honours students, as well as external collaborators across
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cladding processes, including parameter optimisation and advanced monitoring techniques. Develop and refine process models, simulations, and automation strategies. Characterise microstructure, wear behaviour
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Salary $113,400 - $121,054 p.a + 17% superannuation About the opportunity We are seeking an outstanding Postdoctoral Research Associate in Deep-time Paleogeography and Paleo-climate Modelling to join our
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artificial intelligence tools for medical imaging. The role will support the design of deep learning and predictive models for tumour segmentation, cancer detection, risk prediction, and outcome modelling
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Full time fixed term for 2 years at Cobbitty, Camden Campus Opportunity to conduct research applying computational biology and AI modelling to plant–pathogen interactions Base Salary $113,400
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institutes throughout UNSW Medicine. Details of the role The Post Doctoral Fellow will be expected to carry out independent work on modelling the health impact of vaccine strategies for endemic respiratory
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optimising the operation of physical test rigs for the validation of computational models. Expertise and/or experience in the use of computational modelling tools to analyse thermal hydraulics and multiphase
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Council (ARC) to Professors Michael Keane and Alan Woodland. The grant supports research aimed at building more sophisticated labour supply models into macroeconomic models that are used for optimal tax
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environments, fluent in R, while ideally have demonstrated experience in cancer or evolutionary genomics. Your key responsibilities will be to: conduct research, scholarly or professional activity independently
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intelligent decision architectures, predictive analytics, and adaptive computational models that can operate in dynamic, uncertain, and high-stakes project environments. The appointee will conduct original