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Science, Physics, Mathematics, Robotics, or a related discipline. A strong interest in one or more of the following areas: AI and machine learning, computer vision, signal processing, sensing, robotics, or embedded
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is limited by several technological challenges. This project will focus on the interfacial processes occurring within lithium-sulfur cells with a particular focus on the development of new catalysts
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of blades to discs using solid-state joining is a key factor in achieving cost-effective, high performance and low-weight fan and compressor stages in aero-engines. LFW is an established joining process
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of blades to discs using solid-state joining is a key factor in achieving cost-effective, high performance and low-weight fan and compressor stages in aero-engines. LFW is an established joining process
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of blades to discs using solid-state joining is a key factor in achieving cost-effective, high performance and low-weight fan and compressor stages in aero-engines. LFW is an established joining process
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complex physical systems to perform tasks such as prediction, classification, and signal processing. However, one major challenge remains: We still do not fully understand what makes a reservoir computing
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life cycle by: Reducing material usage during manufacture. Improving electrical system efficiency and power-to-weight ratios during operation. Enhancing recyclability and resource recovery at end of life
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life cycle by: Reducing material usage during manufacture. Improving electrical system efficiency and power-to-weight ratios during operation. Enhancing recyclability and resource recovery at end of life
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datasets, and large-scale statistical studies comparing different methods. The successful candidate will be jointly supervised by: Dr Edward Gillman (https://www.nottingham.ac.uk/physics/people
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Lasers and the circular economy High powered lasers are not routinely linked with the circular economy, however intelligent application of these highly controllable and flexible materials processing