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4-year PhD fellowship in the Research Programme - Deep Learning-Accelerated Crystallography Pipeline
and application deadline Please submit a single PDF containing: A CV (max. 2 pages); A cover letter (max. 1 page) describing your motivation; A certified copy of your Master’s diploma and transcript
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-language-action models, imitation and reinforcement learning, world models, multimodal perception, model compression and edge inference. A key aim is enabling robots to improve beyond initial demonstrations
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geochemical alteration during CO₂ injection. Using dynamic reservoir simulation and published analogue case studies from North America, the student will investigate how these carbonate systems may respond
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