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4-year PhD fellowship in the Research Programme - Deep Learning-Accelerated Crystallography Pipeline
. Job description Your key tasks are: Carrying out an independent research project under supervision, including deriving its mathematical basis and implementing results in code; Completing PhD courses
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via feedback, interaction and continual learning. It will explore converting human videos, simulation, web-scale data and unstructured experience into supervision and reward signals through relabelling
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-robot testing. Work could involve new algorithms, reasoning pipelines, foundation model evaluation, benchmarks, platform integration and practical deployment limits. It suits candidates interested in
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estimated geological CO₂ storage capacity, with the Southern North Sea (SNS) representing one of its most strategically important regions. While depleted gas fields are already being developed for carbon