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Field
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n-type ceramic thin films. These materials will be processed at low temperatures on form-free substrates, with an emphasis on their integration into affordable, wearable healthcare devices. Building
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applications of AI have typically been demonstrated under highly controlled conditions. Battery assembly processes can be inherently dangerous demanding very precise assembly tasks, and so flexible automation
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operation of Lab-on-a-Chip devices, DNA analysis, work with aquatic vertebrates, or field campaigns How to apply Interested applicants should contact Dr Kirsty Shaw (k.shaw@mmu.ac.uk) or Dr Hannah Robson
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. For more information and details of how to apply, please contact Gemma Goldenberg g.goldenberg@uel.ac.uk . The selection process will comprise of an informal chat via MS Teams, candidates shortlisted from
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methods in the past. A piece of comprehensive computer software, Pythia with the corresponding capabilities have been developed and tested successfully in several industrial applications. The software can
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security keys and signatures, making it ideal for resource-constrained devices. However, implementing Falcon on space-based systems like satellites is challenging due to limited processing power and
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recent degree. Please quote the project reference number: LB25-TWJ. To avoid delays in processing your application, please ensure that you submit the minimum supporting documents . The selection criteria
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rely on unsustainable materials and on carbon-intensive manufacturing processes. This is posing major environmental and ethical challenges. The project will motivate the PhD student to develop next
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operation of autonomous systems in complex, real-world conditions. This PhD project aims to develop resilient Position, Navigation and Timing (PNT) systems for autonomous transport, addressing a critical
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of AI in the analysis part of a lattice QCD calculation by using techniques such as Gaussian Processes. The University has recently invested just over £1 million in a new High Performance Computing (HPC