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PhD Position: Quantifying the global human-wildlife interface

Natural History Museum
United Kingdom

Summary

High-resolution ML-driven framework to map fine-scale bioanthromes from remote sensing, integrate human mobility and wildlife data, and apply Bayesian and regression models to reveal mammal and bird habitat use for improved conservation, connectivity and land-use planning.

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