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. This project will help to make a substantial difference towards automated drug discovery and helping to reduce suffering worldwide. This joint studentship is part of the strategic global partnership between
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. It will use signals from different sources—such as radio signals and internal sensors— to maintain robust and accurate PNT, even when satellite signals are weak or missing. A built-in intelligent
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and scripting languages (e.g. python) is a plus. The start date of the studentships is 1 October 2026. For project 1, applications from students from the UK, EU and overseas are welcome. The studentship
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ultrafast laser pulses on femtosecond timescales. Combining nanofabrication, electromagnetic simulation, and pump–probe laser measurements, the project will explore how 3D geometry, and different materials
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) develop novel performance metrics combining accuracy and explainability, to be tested across different AI model types; (2) devise new algorithms for selecting models optimised for holistic performance
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2D convolutional neural networks in Python. This is a part-time position (5 hours/week) funded until 31/03/2026 with a possibility of extension and is suitable for a Ph.D. student with relevant
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on the topic (2,4). Training and Development Training will maximise future employability in academia and industry: Programming and geospatial data analysis using Python/R. Machine/deep learning techniques
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those using advanced AI, often fail to capture the nuanced clinical and social factors driving these differences, leading to inequitable health outcomes. This is largely because they struggle to leverage
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/Python and signals processing Understanding of electromagnetics Experience with CAD and mechanical design How to apply: Interested candidates should submit a full formal application, guidance and the
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, paid at the prevailing UKRI rate for 3.5 years of full-time study. Non-UK students can apply but will have to personally fund the difference between the Home and the Overseas rate. Eligibility: The