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Postdoctoral Research Associate in spatial omics, artificial intelligence and computational pathology. The role will develop and apply computational methods for analysing kidney biopsy data, integrating
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opportunity Deliver an ARC-funded research project focused on developing environmentally friendly drilling technology through experimental, computational, and applied engineering methods. Conduct advanced
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, probabilistic methods, or related areas. This project is part of an ambitious research program across the Schools of Civil Engineering and Project Management. The appointee will conduct original research
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capability in quantum computing, data-driven modelling, infrastructure systems, computational optimisation, simulation, probabilistic methods, or related areas. This project is part of an ambitious research
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capability in quantum computing, data-driven modelling, infrastructure systems, computational optimisation, simulation, probabilistic methods, or related areas. This project is part of an ambitious research
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connections between the Maslov index and the Evans function investigate fast-slow decompositions using geometric and asymptotic methods apply analytical and numerical methods to travelling-wave stability
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to complex ecological networks design and implement novel coordinate-independent numerical algorithms utilising automatic differentiation and pseudo-arclength continuation methods to identify contact points
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concepts based on astrophotonic technologies (including the photonic lantern and photonic integrated optics), by way of computer simulations, laboratory prototyping and on-sky testing perform detailed
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Full time, fixed term for 2 years with the possibility of extension Join the School of Electrical and Computer Engineering and contribute to pioneering research redefining CubeSat technology Base
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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 Job related to staff