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advanced materials research intersects with digital manufacturing, data-driven design and sustainable production. These activities provide strong opportunities to collaborate with the Midlands
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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
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information, identify issues and propose practical solutions. Confident IT user, including MS Office and document management systems. Ability to work independently and collaboratively with colleagues across
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disciplinary backgrounds. This post is full time, 35 hours per week to cover maternity leave for up to 12 months or until the substantive postholder returns. Visit our website for further information
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expression in the tumour. The models will be calibrated against pre-clinical data and compared to literature models that are based on ordinary differential equation systems without a description of spatial
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approach to your work. Whether preparing information for schools, resolving placement‑related issues, or supporting the wider administrative needs of the Partnerships Team, you will contribute to a
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be suitable for sponsorship under the Skilled Worker visa route but first-time applicants might need to qualify for salary concessions. For more information please visit: www.gov.uk/skilled-worker-visa
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deadlines Desirable Application Experience in Exams Preparation (e.g Cambridge English and IELTS) Desirable Application Further Information Grade 7 Salary £38,784 to £41,064 Work arrangement Full-time
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to internal and external stakeholders, supporting data-driven decision-making. Stay abreast of the latest developments in relevant technologies, methodologies, and best practices, applying new knowledge
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flowering plants. Collaborate closely with project partners across the Universities of Sheffield, Edinburgh and Oxford to ensure effective data sharing, analysis coordination, and synthesis of results. Take a