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Field
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Biofilms Innovation Centre (NBIC) are offering fully funded innovative four-year cohort-based training in frontier science across priority areas focussed on the three overarching research areas. This funding
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This 3-year PhD position offers an exciting opportunity to join the STRIPS Project (Swansea Tata Research and Innovation Prosperity Partnership for Printed Perovskite PV). As part of the STRIPS
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) change tread pattern (or tread groove depth), ii) aerodynamics by changing the surface texture of sidewall, iii) noise cancelling (vibration), iv) mechanical properties (hardness). Resources: The PhD
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. Generative Optimisation: You will implement advanced AI techniques to support next-generation Pulse design, aiming for minimised equipment footprint and enhanced diagnostic capability. Training and Environment
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from motion blur, defocus, and imaging artefacts, which hinder accurate diagnosis. This project aims to restore image clarity by designing intelligent algorithms that recover fine anatomical details
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, opening the potential to use that knowledge to design new drugs, new biomaterials or to identify new therapeutic opportunities. What You’ll Do You will receive training and hands-on experience in
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deposition affecting operational utility of SuperMagdrive propelled launcher kick stages; leading to an updated design of kick stage that could be offered into the UK's commercial spaceflight ecosystem
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analysis, focused on selected electrodes or brain regions. We would like to investigate how graph deep learning models can be designed to capture dynamics in brain signals for the accurate detection, and how
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ultrasound. This project will develop the materials, methods, and designs necessary to 3D-print the next generation of medical micro-robots targeting drug delivery, exploiting combinations of functions
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, training, and collaboration Preferably a strong background in aircraft design and propulsion systems Preferably Proficient in programming (MATLAB preferred; Python is also acceptable) Prior experience with