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. We believe everyone has their own unique skills to offer. We would be thrilled if you would consider joining our thriving University. Further information about the University can be found here . Find
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of human samples collected as part of this clinical trial must comply with the Medicines for Human Use (Clinical Trials) Regulations 2004 and will provide the primary endpoint data that will dictate
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calibration and artefact mitigation. · Develop and maintain reconstruction and data-processing pipelines using Python programming tools. · Implement quantitative 3D analysis workflows such as
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communities. For more information on our EDI strategy and values, click here The Role and Department As a Department, the Student Enrichment Directorate is striving to play a pivotal role in developing
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has been designed to provide a central point of contact for all non-academic enquiries and services, making it easy for students to obtain the information and help they need. It is expected that staff
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highlighting risk, ensuring compliance across all University policies and regulations including IP, Consultancy, Ethics, Trusted Research and Data Protection, and ensuring full compliance with statutory and
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independently; strong writing and oracy skills for varied audiences, including the ability to present complex data and projects clearly in written documents and oral presentations; a good first degree, or
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-reviewed and grey literature search; supporting data retrieval, cleaning, and analysis; and preparing and co-delivering research outputs for expert consumption or for engagement with external organisations
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and ensure Data Protection regulations are followed. You will be visible across the College and NHS Trust, supporting Principal Investigators and research teams with compliance and applications
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TypeFixed-termWorking TypeHybridAvailable for SecondmentNoClosing Date30-Apr-2026JD_Param11NoJD_Param12No Two 3.5 year PhD studentships in Artificial Intelligence in Medicine, or Health Data Science, funded