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patient records exploiting HPC, including GPUs embedded within NHS infrastructure. Development and deployment of ML operations software and tooling for ML / LLM algorithms working over free-text clinical
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(EHR) data built by a multidisciplinary team of software developers, machine learning engineers, clinical researchers and health informaticians. The CogStack team is at the forefront of building
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, including GPUs embedded within NHS infrastructure. - Development and deployment of ML operations software and tooling for ML / LLM algorithms working over free-text clinical data and potentially mixed
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independent higher education provider, offering flexible and inclusive learning across multiple London campuses. We are student focused, digitally forward, and committed to academic excellence reflected in our
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-resource settings. This project aims to achieve several objectives, including the development of a new AI-algorithm and a paired dataset for comparing how different imaging techniques influence
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to apply it in selected poor-resource settings. This project aims to achieve several objectives, including the development of a new AI-algorithm and a paired dataset for comparing how different imaging
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are critical especially around congested or critical infrastructures. This research aims to develop decision making and planning algorithms that can mitigate the risks challenging environments of AAM
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University, UK to develop an autonomous Multi-agent systems equipped with risk-averse obstacle avoidance capabilities. Multi-agent Systems (MASs) are becoming increasingly popular in solving several real-world
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to work across disciplines, with an interest (or willingness to develop expertise) in areas such as machine learning, route planning algorithms, aircraft design and testing, and systems engineering. For a
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of the birthplaces of AI and home to some of the latest developments in the field. The role offers multiple opportunities for networking and skills development, for example through co-creation of research projects