66 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Edinburgh Napier University" uni jobs at University of Bath
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: Building Anatomically Accurate Digital Human Models Next generation virtual production with light-fields Creating data-driven 3D human representations that combine the fidelity of implicit models with
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flowering plants. Analyse bulk and single-nucleus transcriptomic data to direct molecular and physiological studies of the locus' function. Through transcriptomic and bioinformatic analyses, predict the genes
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engagement social media channels and IPR blog; be responsible for overseeing the collection and reporting on impact and evaluation data for wider IPR activities, related to policy engagement, working with
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interactions. Given the importance of the student and course records you’ll help to maintain, accuracy and attention to detail is critical to ensuring reliable data and exceptional service delivery. Your ability
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duties will include Conduct independent research addressing the modelling, analysis, and operation of large energy networks Experience in collation, syntheses and analyse data from practical systems
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Further Information This is a full-time (36.5 hours per week) fixed term post available from May 2026, for an initial 24 months. For an informal conversation about the role please contact Davide Mattia
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collaboration with the University of Reading, the Colorado School of Mines, the company Simulations Plus, and the FDA. Bath’s contribution involves primarily the generation of experimental data to guide
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achievement of strategic organisational objectives. Experience of the higher education sector is desirable as is a professional marketing qualification, such as CIM or equivalent. Further Information This role
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University has a well-established career progression route for academic staff. Further Information This role is offered on a full time (36.5 hours per week) fixed term basis for two years from July 2026
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Educational Outcomes (LEO) data with qualitative case study research across 12 locations in England. The work is funded by the UKRI Trial Accelerator Fund (TAF). The UKRI Creating Opportunities Trial