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hypergraph models of data, data complexity, structural properties of graph and hypergraph classes, algorithmic consequences, and applications. As such, the successful candidate must either have a good
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innovative mathematical theory and numerical algorithms for solutions of stochastic partial differential equations that describe properties of magnetization in ferromagnetic materials. The mathematical toolset
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Carbon Modelling. This position offers an exciting opportunity to make use of the recent developments in AI and machine learning algorithms by measuring soil properties rapidly over a large area using cost
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on the ground robot for real-time soil property assessment, providing critical below-ground data to complement above-ground phenotypic analysis develop machine learning algorithms for real-time analysis of plant