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at meetings Experience in developing deep learning models Ability to manage own academic research and associated activities Desirable criteria Experience in dealing with large image data Experience
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at the intersection of obstetrics and imaging. The successful candidate will play a key role in recruiting and supporting pregnant participants, coordinating MRI scans, and inputting into data collection and analysis
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software platforms for electronic healthcare record research and direct care that includes Natural Language Processing / Large Language Model (LLM) capability, e.g. extracting structured information from
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following skills and experience: Essential criteria Demonstrable experience of managing a range of HR and employee relations issues within a large complex organisation Up to date knowledge of employment law
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for leading large-scale digital health research projects Strong understanding of healthcare data standards (e.g., FHIR, HL7) and regulatory requirements Leadership experience in managing multidisciplinary teams
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, epidemiology, health data science, or other closely related disciplines. They will bring internationally recognised expertise in statistics and methodological leadership in digital trials, demonstrated by a
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and presenting complex data to a wide-ranging audience Experience of managing large complex multi-activity budgets and financial reporting systems, and monitoring and acting on financial performance
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to a multi-disciplinary understanding of conflict, war, security and defence issues in an increasingly complex and uncertain world. We are home to large and diverse community of specialists in strategic
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background in statistical analysis, machine learning, and data visualisation Proficiency in programming languages commonly used in data science, such as Python or R Experience with large and complex
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advanced data-analytical and econometric training, experience of handling large datasets and of execution and write-up of independent research projects. Experience of Stata, R or Python is essential