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motivated and enthusiastic and keen to push the boundaries of what is currently possible when imaging with an optical microscope. Combing the latest in optical developments with the recent surge in AI
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efficiency, consistency and patient outcomes; they also introduce new cognitive demands, risks, and accountability challenges. This project aims to contribute to the development of human-centred, safe, and
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reliable transmission of demanding multi-modal data such as haptic feedback, video, and 3D sensing data. This project will develop AI-driven predictive network intelligence to anticipate delay and network
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PhD: responsible biomedical innovation and transition to animal-free research Faculty: Faculty of Geosciences Department: Department of Sustainable Development Hours per week: 32 to 40
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project at the CNNP Lab . The aim of ACORN is to understand the role of biological rhythms (chronobiology) in health and disease, and develop time-adaptive therapies. This project is funded by UKRI and is a
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sequencing technologies (such as nanopore sequencing) has enabled the discovery and analysis of complex regions of the genome for the first time. Novel long read sequencing approaches developed in the Ryan
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carried out under the UK Hypersonics Doctoral Network. This network is supported by the Ministry of Defence and EPSRC for building the necessary expertise to develop next-generation hypersonic vehicles
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Communication, the Faculty of Social Sciences and Humanities and the Center for Clinical Data Science (CLINDA), Department of Clinical Medicine, the Faculty of Medicine. AI:GENE-XPLAIN develops AI tools
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stormwater) are a sustainable solution, but their long-term performance often suffers due to generic design approaches that overlook plant ecology and the interaction with soil structure development. This PhD
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focused? Then this PhD position may be just right for you. We will support you in developing the right research competencies for a career in industry or academia. We offer a PhD journey for three years