10 modelling-complexity-geocomputation Postdoctoral positions at UNIVERSITY OF SYDNEY
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and complex system simulations develop, implement, test, and benchmark computational models, algorithms, data pipelines, and research software prototypes contribute to optimisation, simulation, sampling
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will be to: conduct high-quality research in quantum-enabled computational approaches for digital twins and complex system simulations develop, implement, test, and benchmark computational models
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circuits, antenna engineering, electromagnetic modelling, additive manufacturing, materials characterisation and experimental validation. The appointee will work closely with the Chief Investigator (CI
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operation. Translate device concepts into CAD models and engineering drawings, and coordinate component fabrication, procurement and assembly as required. Analyse and interpret experimental data, maintain
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operation. Translate device concepts into CAD models and engineering drawings, and coordinate component fabrication, procurement and assembly as required. Analyse and interpret experimental data, maintain
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at transforming the way low back pain is managed across Australia. The program will co-design and evaluate three innovative models of care to improve access to evidence-based care for people with low back pain
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learning or a related field experience in the development of machine learning models using Python and pytorch expertise in two or more of the following technical areas: implementation of signal processing
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career as a mentee and a mentor, and to expand your research network when liaising with collaborative research partners. Your key responsibilities will be to: develop advanced modelling, novel material
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to collaborate closely with academics within the university and with our industry partners. In this role you will: Design, build and flight-test several (scaled) models of the medical delivery drone(s) De-risk the
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multi-site time-series IEQ datasets, including clustering, regression, and statistical modelling to identify environmental predictors of mould growth preparing scientific publications, conference