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direct air capture solutions by assessing and designing reclamation processes for liquid absorbents used in CO2 capture. You’ll work across modelling, experimentation and pilot-scale activities
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will demonstrate: A Masters or PhD in engineering, environmental science, or a closely related discipline Strong analytical and numerical capability, including experience with modelling, GIS and coding
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multiphysics modelling tools. Evidence of publications in reputed refereed journals and presenting at conferences. Capability to contribute towards successfully obtaining external research funding. Some
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, clinical and health challenges; contribute to co-designed research approaches; and develop, validate or document AI-enabled tools, software, models, workflows, prototypes or partner-facing outputs. Draft
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, biological, clinical and health challenges, co-design research approaches, and contribute to validated AI-enabled tools, software, models, workflows, prototypes or partner-facing solutions. Skills and
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approaches, and contribute to validated AI-enabled tools, software, models, workflows, prototypes or partner-facing solutions. Skills and knowledge: Completion of a PhD or equivalent accreditation and standing
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with animal models, including animal handling and the application of relevant ethical and regulatory requirements. About UQ As part of the UQ community, you will have the opportunity to work alongside
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., hyperspectral) and climate reanalysis data, calibrated with in situ field data, laboratory analysis, and numerical models of landscape evolution. Apply today to spearhead groundbreaking landscape evolution
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datasets is essential. Well-developed skills in machine learning approaches, clustering techniques and longitudinal modelling will also be highly regarded. We warmly invite applications for this exciting
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, recommendations for more equitable fatigue management, and co-developed models for product design that mitigate the risk of automated discrimination. This is a unique opportunity for an emerging researcher