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at the interface between stochastic modelling, signal processing and data science. Ultimately, the project will develop key indices that can be used to assess the health of the soil ecosystem. Such indices
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This self-funded PhD opportunity sits at the intersection of several research domains: multi-modal positioning, navigation and timing (PNT) systems, AI-enhanced data analytics and signal processing
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the interpretability of these models can be enhanced to support clinical decision-making. This project will leverage the complementary expertise of both supervisory teams in EEG signal processing, graph deep learning
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integrates dynamic “smart” materials into 3D-printed structures, opens new frontiers in both bioelectronics and solar energy harvesting. Our goal is to create adaptive electrode architectures. These advanced
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an adhesive heavy application, and to find methods for End-of-Life disassembly. Battery pack construction uses adhesives to fix multiple cells in place, creating a block of battery modules. The adhesive has
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relevant degree. The post is fixed term and is available for 12 months. If you are still awaiting your PhD to be awarded you will be appointed at Grade 6, spine point 30. Upon written confirmation that you
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2025 for 7 months, with the possibility of renewal. UCL Grade 6: Research Assistant - Spine Point 28 / UCL Grade 7: Research Associate - Spine Point 35 - (Depending on Qualification) If you wish
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be submitted via the 'Apply' button above. In place of a research proposal, you should upload a document stating the title of the project that you wish to apply for and a brief statement (up to 500
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should be submitted via the Engineering Materials PhD programme page. In place of a research proposal, you should upload a document stating the title of the project that you wish to apply for and the name
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in leaf size, shape and surface texture, all species have an astonishing ability to self-right when flipped over. Preliminary data indicate that drastic differences in surface wettability between