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condition of appointment. This is a fixed term role, fixed term until 29 June 2028 Key Accountabilities • Undertaking extensive primary, archival, and policy research across the UK to consult major
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Accountabilities Although working under the general guidance of an academic or Principal Investigator, the postholder will contribute ideas, including enhancements to the technical or methodological aspects
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of this data science consortium is to leverage electronic health record (EHR) data from primary and secondary care settings alongside available genetic and other biological datasets to develop novel tools
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for original thought • Ability to interact with people from different disciplines • Punctual and dependable, showing commitment to the role and wider school • Ability to deliver results to tight
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a period of 3 years. Key Accountabilities The main function of this post is to provide laboratory-based technical research support for the British Heart Foundation funded project. It will involve
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LLM Models and Artificial Intelligence systems. Candidates should have a Masters or PhD in Computer Science, Artificial Intelligence, Machine Learning, Software Engineering, Data Science, Statistics
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analysis (e.g. economics, statistics, mathematical modelling). They will also have completed an MSc in one of these areas. For the position of Research Assistant, applicants should have a Masters in Health
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deliver this new and exciting research project within the time limits specified by the GOSH Charity project grant. You will receive supervision and support from 5 principal investigators based
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scientists into a cohesive hub focused on observing and reporting on health innovation. In this role, your primary focus will be on researching and developing advanced data-driven, AI tools. You will play a
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complement this team, we seek an excellent educator. Our primary criteria are excellence in teaching and scholarship and commitment to our ethos of creativity and collegiality. You will benefit from access