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Machine learning models of organic soil contaminant bioavailability for the sustainable redevelopment of post-industrial brownfields

Machine learning models of organic soil contaminant bioavailability for the sustainable redevelopment of post-industrial brownfields

This CASE PhD studentship will use a combination of organic geochemistry and data-driven modelling to elucidate the factors responsible for the skin absorption of hazardous… Read More »Machine learning models of organic soil contaminant bioavailability for the sustainable redevelopment of post-industrial brownfields

Climate change impacts on cold-adapted butterflies: discovering the mechanisms and testing potential mitigation approaches

Climate change impacts on cold-adapted butterflies: discovering the mechanisms and testing potential mitigation approaches

Cold-adapted species, including those restricted to mountains, are highly vulnerable to climate change. For UK butterflies, cold-adapted species are similarly threatened by climate change-mediated decline, with some… Read More »Climate change impacts on cold-adapted butterflies: discovering the mechanisms and testing potential mitigation approaches