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healthcare. You should also have experience with large scale scientific computing, working with sensitive patient data, in development and management of research code, and with cardiac and cardiovascular
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and produce management information to enable rapid decision making on project priorities and resources, and to allocate tasks across the wider research team. You will be an active member of the research
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Neuro-Symbolic Methods for Explanation-Based Reasoning with Large Language Models School of Computer Science PhD Research Project Directly Funded Students Worldwide Dr Marco Valentino, Prof Nikos
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to manage and lead the day to day running of a large research group Essential Application/interview Further Information Grade Grade 7 Salary £38,249 - £40,497 Work arrangement Full-time Duration August 2025
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these observations is that biases in the perceptual systems used by animals (including humans) to detect and process sensory information have played an important role in shaping communication signal evolution. In
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information, which is then transmitted to the central nervous system through afferent fibres that innervate the IHCs. This cochlear output is modulated by the cholinergic efferent fibres originating in
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for ensuring that internal teams and external stakeholders and partners have the information and tools they need to make the right decisions in real time. Your team will also oversee and maintain consistent
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the successor to 5G in 2030. 6G is imagined as the next big leap in connectivity, promising even faster speeds, lower delays, and the ability to connect billions of devices seamlessly via a network of networks
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rare moment to reshape how we learn from health data. Your journey will blend AI, and engineering creativity with ethical responsibility. You will experiment on large, real-world collections of de
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of Sheffield. The role is part of a programme of research that is fully funded by the Aerospace Technology Institute (ATI) in a large collaborative programme with several Industry partners, including Airbus