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the Medical Research Council. The Research Fellow will be using Natural Language Processing (NLP) methods, with a special focus on generative Large Language Models (LLMs), to interrogate a very large sample of
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) and British (1796-1948). It was also pivotal to the early globalisation of Islam and has housed a series of diasporic and minority communities. This project interrogates how invaders and residents made
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Excellent writing and communication skills, especially for academic papers Desirable criteria Experience working with NHS data or other medical data Understanding of and experience working with digital neural
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cybersecurity, digital forensics, vulnerability assessment, malware analysis, privacy technologies, and AI security AI and Emerging Fields: Smart healthcare, IIoT, computational fintech, robot-human interaction
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generative Large Language Models (LLMs), to interrogate a very large sample of Electronic Health Records from people with epilepsy across multiple NHS hospitals. They are expected to have some experience
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through attracting, developing, and retaining a diverse range of staff from many different backgrounds. We therefore welcome applicants from all sections of the community regardless of sex, ethnicity
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-The-Shelf (COTS), all-digital radar systems linked to an array of ultra-stable, ultra-low phase noise oscillators. The project is part of the UK Quantum Technology Hub in Sensing, Imaging and Timing (QuSIT
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-base and tangible recommendations designed to improve social media data access in the immediate and long-term. Social media data – data generated through user interactions with digital social platforms