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About Us We are seeking experts in medical software quality management and assurance to join our team and help translate a novel neurosurgical planning software into clinical practice. We welcome
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cycle, leveraging the advanced capabilities of Generative AI and Large Language Models. Our goal is to deliver innovative methods and tools that generate software artifacts (e.g., requirements, code, and
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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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their colleagues, pass knowledge on to others, and develop the relevant formal and informal networks to enhance their learning opportunities. An essential part of the role is the active collaboration with other
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disorder areas in 54 studies. The Software developer role will be pivotal in expanding the accessibility and utility of the RADAR-based platform, impacting the pace and quality of mobile health research
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capabilities of Generative AI and Large Language Models. These innovative methods and tools will support software engineers with generated software artifacts such as requirements, code, and test cases
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(PhD submitted or imminent completion by time of application) Academic specialism in politics and research methods Demonstrable excellence in and experience of university research-led teaching Good
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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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: Essential criteria PhD qualified in relevant subject area or equivalent professional experience Familiarity and experience with NLP methods and especially LLMs, evidenced by publications and/or dissertation
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disorder areas in 54 studies. The Software Engineer will be responsible for implementing and optimising infrastructure and deployment processes, and will also contribute to the development of key software