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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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You will provide technical support to the Tate Group with a primary focus on running, optimising, and expanding chemoproteomics workflows. You will be responsible for sample preparation and data
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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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energy demand. Combining applied mycology, food safety modelling, precision agriculture and Net Zero energy systems, the research will deliver energy-efficient, data-driven grain storage solutions
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and information retrieval from the internet. High level of numeracy , double entry and accounting principles Excellent communication and organisational skills with ability to lead when required with
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). This individual will provide technical assistance, manage the study database, analyse gait/physical activity data, process DMOs and publish key findings from the study. The DMSS aims to determine whether DMOs can
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provided with the best environment to achieve their potential. Full information on duties, responsibilities and criteria for the post can be found in the attached job description. Grow in your career with
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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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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