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Field
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This PhD at Cranfield University explores the development of resilient, AI-enabled electronic systems capable of detecting faults and autonomously recovering from failures in real time. The project
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September 2026. The PhD will characterise the consequences of childhood encephalitis relative to acquired brain injuries & develop training to support understanding. Encephalitis is inflammation or swelling
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of the ANS is prominent. Importantly, while PD patients develop motor dysfunction at the later stages of the disease, autonomic dysfunctions (dysautonomia) can precede these motor symptoms, suggesting it as a
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to talented prospective or mid-study students towards their PhD studies in Research and Development Management. Tenable period Up to three years (pro-rata for part-time students) Continuation of award
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to better understand community perspectives and identify culturally appropriate engagement approaches. Prepare the ethics application and develop participant-facing materials. Contribute to the public
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, allowing them to add to their existing clinical targets of anxiety and depression disorders, thus developing impact from this research. Methodology This studentship will take a mixed-methods approach to
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, an innovative low-pressure airtightness testing technology co-developed by the University of Nottingham and Build Test Solutions Ltd (BTS). This is a fantastic opportunity to work towards a PhD whilst working
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to ~500 Wh/kg, while cutting manufacturing costs. Through advanced polymer design, scalable synthesis, and precision coating techniques, you will develop robust, submicron PIM-based membranes tailored
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treatments. To date, there are few techniques that integrate AI and digital twins to improve patient outcomes. Your Role In this project, you will develop new methods that combine AI and digital twins
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project at the CNNP Lab . The aim of ACORN is to understand the role of biological rhythms (chronobiology) in epilepsy and develop time-adaptive therapies. This project is funded by UKRI and is a