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neuroimaging (particularly functional) is required, and ideally the candidate will have experience in linking imaging methods with cognitive, neurobiological or computational modelling frameworks. Your key
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to: contribute to an interdisciplinary research program investigating the biochemical properties of a novel enzymatic oxygen sensing system and its role in low oxygen diseases facilitate drug discovery efforts
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the use of regional- to global-scale EarthBank datasets in numerical geoscience modelling via the platform Application Programming Interface (API) and command line scripting. The new node will build
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University of New South Wales | Canberra, Australian Capital Territory | Australia | about 11 hours ago
sacrifice Free gym access UNSW-wide strategy to focus on Healthy Body, Healthy Mind, Healthy Places and Healthy Culture. Eligibility: The successful candidate will be required to undertake pre-employment
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the use of regional- to global-scale EarthBank datasets in numerical geoscience modelling via the platform Application Programming Interface (API) and command line scripting. The new node will build
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27 Aug 2025 Job Information Organisation/Company UNIVERSITY OF SYDNEY Research Field Computer science Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Country Australia
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Computer Engineering at the University of Sydney is seeking to appoint a Research Associate or Postdoctoral Research Associate to contribute to an exciting project focused on the challenge of accelerating
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-scale, complex project environments. This project is part of an ambitious research program to integrate real-time sensing, AI-based control, and governance analytics into the future of infrastructure and
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) Country Australia Application Deadline 4 Sep 2025 - 00:00 (UTC) 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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Postdoctoral Research Associate in Global Environment Modelling of Soil Organic and Inorganic Carbon
. The project is aimed to improve our in-house developed process-based computer model and use it to represent the soil ecohydrological and biogeochemical interactions across various carbon and nitrogen soil pools