5 high-performance-computing-postdoc Postdoctoral positions at University of Reading in United Kingdom
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programme aimed at addressing the fundamental challenges of Embedded AI and accelerating the development of Embedded AI systems and applications. The ANT doctoral candidates will design high performance
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will develop computational models, analyse drug particle behaviour, conduct Andersen Cascade Impactor (ACI) experiments, and contribute to high-impact publications. This position offers valuable
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of changes to land use on soil carbon, water quality, and pollinator abundance Using knowledge and initiative to interpret model outputs Employing GIS and data visualisation skills to produce high
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the performance of the new components, and disseminating successes to the broader land-surface and climate modelling communities. The postholder will be expected to interact with other members of the LEMONTREE
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future climate states, to quantify uncertainties in vegetation predictions reflecting the stochastic nature of the climate. They will also be responsible for testing model performance against site