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The Crop Innovation Centre - Skills, Technology And Research Training Programme (CIC-START) is an industrial doctoral landscape award (IDLA) funded by BBSRC that tackles skills shortages in UK
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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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with predictable and repeatable operations. Autonomous systems need to be predictable and verifiable. Regulatory acceptance requires demonstrable evidence of safety performance. The complex design of
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is seeking to make an appointment in one of the following areas aligned to strategic research and teaching priorities: Design with a focus on space engineering Digital manufacturing, sustainable
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a key challenge in sustainable process engineering: translating microbial electrolysis cell (MEC) technology from lab-scale innovation to robust, industrial deployment. The research will sit at
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industrial partners, and help advance research supporting the design of next-generation materials for demanding engineering environments. What you would be doing: You will develop in-depth understanding
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—remains a critical challenge. This project will focus on designing AI-driven cognitive navigation solutions that can adaptively fuse multiple sensor sources under uncertainty, enabling safe and efficient
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in particle simulation, experimental design, high-performance computing, pharmaceutical manufacturing and predictive modelling; preparing you for a career in pharmaceutical, digital manufacturing and
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The University The University of Cambridge is one of the world's leading academic institutions, renowned for its excellence in education, research, and innovation. For nearly 800 years, we've been
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are invited for a fully-funded Industrial Doctoral Landscape Award, offered in partnership with Rolls-Royce, to tackle key challenges in the design of aeroengine oil systems using multiphase Computational Fluid