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Primary Supervisor - Prof Diane Saunders Scientific background Bhutan is well-known for its extraordinarily high species richness and endemism rate. With only ~8% of Bhutan’s land being arable
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across different imaging devices, including future sensors with unknown spectral sensitivities. Training The student will be based at the Colour & Imaging Lab at the School of Computing Sciences which has
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observations and modelling of the physics and biogeochemistry of Antarctic shelf seas. You will gain experience in computer coding, statistics for environmental science, working with and piloting autonomous
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NERC. Person Specification We seek an enthusiastic individual with a degree in geoscience, physical sciences, or computer science. Numerical literacy and experience with coding tools (Matlab or Python
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cutting-edge molecular techniques and generate gene knockouts to identify new enzymes and pathways involved in this process. Finally, the PGR will utilise plant infection models and high-resolution
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. Communication of scientific findings through publications and conferences. Person Specification A highly motivated candidate with: A degree or equivalent in numerate, computational, or environmental subject areas
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Primary Supervisor - Dr Marius Somveille Background Seabirds are highly mobile organisms connecting distant regions across the world’s oceans and seas. While being important contributors to marine ecosystems, seabirds are also particularly threatened by human activity. To design effective...