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the role) in Computer Science/Electronic and Electrical Engineering or a closely allied discipline, you will have a background in cloud technologies for communication systems, and in programming with
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This role will be based on the university campus, with scope for it to be undertaken in a hybrid manner. We are also open to discussing flexible working arrangements. Are you a Computer Scientist
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dynamics in the machine-learning predictions, we aim to understand drivers of predictability: are there “windows of opportunity” of high predictive skill which may benefit farmers? Please note that this post
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will have or be close to obtaining a PhD in a relevant subject such as remote sensing, physics, mathematics, computer science or environmental science. Experience of processing satellite datasets
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of Earth and Environment (SEE), and working closely with its School of Civil Engineering, you will use various seismic datasets – including data already recorded with fibre-optic distributed sensing systems
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outputs (or ‘stories’) on the subsurface and its contribution to the energy transition. You will join a team led by Associate Professor Rory Padfield, building expertise on the role storytelling can play in
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the refocusing of research. Geosolutions Leeds brings together world-leading expertise in geology, engineering and social science to deliver an integrated systems approach to energy geoscience that will meet Net
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of research. Geosolutions Leeds brings together world-leading expertise in geology, engineering and social science to deliver an integrated systems approach to energy geoscience that will meet Net Zero goals
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you may have, please contact: Professor John Barrett Email: j.r.barrett@leeds.ac.uk
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hybrid manner. We are also open to discussing flexible working arrangements. Are you an ambitious researcher looking for your next challenge? Do you have an established background in soil science? Do you