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to the present and modelling towards the future. Research within BEES is clustered within four general thematic areas: Ecology and Evolutionary Biology; Climate Science; Environmental Change, Sustainability and
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modelling who has: a PhD in power and energy systems, process systems engineering, industrial decarbonisation, energy economics, or a related discipline demonstrated expertise in energy systems modelling
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Position Capabilities of the position description . For more information regarding this position, please contact Yee Lian Chew Please see here for our Reconciliation Action Plan Please see here for our
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of recruiting talent aligned to these values and are looking for a Postdoctoral Research Associate/Fellow in energy systems modelling who has: a PhD in power and energy systems, process systems engineering
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do: Make use of satellite geodesy datasets, combined with secondary model and observational data, to make new understanding of the evolving mass and elevation of the East Antarctic Ice Sheet, with
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, artificial intelligence, or statistical modelling techniques to digital forensics, online surveillance, or large-scale data analysis, particularly in the context of wildlife crime detection and prevention
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) environments for large-scale data analysis, including workload managers such as SLURM. For full details about this role, and other criteria, please review the Position Description . Not sure if you meet all
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combatting wildlife trafficking and environmental harm. ESSENTIAL MINIMUM CRITERIA PhD in a relevant discipline such as computer science, data science, digital forensics, cyber security or a related field with
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of the University may be required. For further information, please refer to the Position Description linked here: Postdoctoral Research Fellow in Microbial Ecology and Crop Disease Management . Who We’re Looking
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evaluate methods via experiments, benchmarking, simulation and/or real‑world data. The successful candidate will have: A PhD in Statistics, Data Science, Computer Science, Mathematics, or a related field