Research Associate x 2 in Deep Learning for Population Genomics and Biodiversity Forecasting

The University of Cambridge is offering two Research Associate positions in the Department of Zoology focused on advancing deep learning methods for population genomics and biodiversity forecasting. The project aims to integrate ecological, genomic, climatic, and environmental data to enhance biodiversity prediction through Climate-Informed Spatial Genomic Models (CISGeMs). Successful candidates will design and implement deep learning models, collaborating with a diverse research group. Candidates should hold a PhD in population genetics or a related field, with strong quantitative skills and experience in deep learning. The positions provide a unique opportunity to contribute to AI-driven environmental science and biodiversity research.