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mathematics, including medicine (STEM). Through the AI4X-PDF, we seek to nurture the next generation of research leaders working at the intersection of AI and STEM, driving innovation and strengthening
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aims to improve electrodialysis (ED) for REE separation by developing advanced membranes and integrating AI-driven optimization techniques. By combining materials innovation with machine learning
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to adapt and incorporate novel ideas and approaches in scientific industry. Demonstrated ability to formulate hypothesis and design effective experimental plans. Ability to design and implement new
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of practice, leading programmes of research across the Northeast and North Cumbria and nationally, in line with the strategic aims of the theme. Our research priorities are to design and evaluate improved
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capabilities in supersonic propulsion-airframe integration for next-generation air vehicle platforms. The role involves designing, executing and analysing complex aerodynamic experiments, contributing to project
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computing applications—mainly for a SWaP-constrained AV—using hybrid electro-photonic accelerators. We propose to design and prototype a complete electro-photonic computing (EPiC) system (CPUs + accelerators
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. This will involve design and delivery of a genotype-to-phenotype database and the development of a new conceptual model for cross-scale emergence that depend on molecular, environmental, immunological, and
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to concentrate on innovative metasurface-engineered tubular designs, advanced ceramic manufacturing, and high-temperature performance evaluation. The project involves developing a mini-scale tubular high
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the PI to contribute independently and or collaboratively to the above research. He/she will help to design and perform the the necessary experiments as well as mentor graduate and undergraduate students
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of research activities under the supervision of the Principal Investigator, including but not limited to: Conceptualize, design, implement and troubleshoot research protocols. Perform molecular