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4-year PhD fellowship in the Research Programme - Deep Learning-Accelerated Crystallography Pipeline
mathematical aspects; Adequate programming skills and willingness to apply machine learning where required; Optionally, previous experience contributing to open-source scientific software. Terms of employment
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robot learning and edge deployment. Closing date: 15 August Overview Robotics is entering a new phase where foundation models connect perception, language and action. Vision-language-action models, robot
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prediction to systems that reason, plan, interact and act in the physical world. This PhD addresses efficient long-horizon task execution in Physical AI—complex tasks needing sequences of decisions, subgoals
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