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.