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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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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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quantitative research methods and analysis Ability to make decisions and initiate action independently where appropriate * Please note that this is a PhD level role but candidates who have submitted their thesis
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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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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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(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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: 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