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economic modelling packages (such as STATA, R, WinBUGS) and the ability to undertake modelling of study data Experience of research on methodological aspects of economic evaluation and advanced evidence
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July 2025 Interview date: TBC Please quote reference: 421-25-R
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gained in matrix management within the context of the R&I roadmap for transformation, providing significant career development opportunities. This is an exciting, challenging and highly varied role which
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data and potentially mixed modalities (waveform, DICOM images etc.) Data manipulation and analysis capability, e.g. machine/deep learning in R/Python or other available tools with an interest in
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conducting and reporting epidemiological studies using real-world data is essential. Proficiency in using statistical software packages such as R, Stata, SAS, or Python is also required. Strong organisational
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Visualisation Generative AI and LLMs Programming (Python, R, SQL) Databases and IoT Applied Statistical Methods You will also be involved in the development and delivery of short courses for industry
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strong technical expertise in at least one emerging tech domain (e.g. AI, Quantum, Sustainable Energy, Future Mobility, Robotics, etc). Experience or exposure to industry R&D, tech ventures/startups
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July 2025 Interview date: TBC Please quote reference: 421-25-R
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Testing and Optimsation of Medical Examination and Surgical Gloves School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Prof R Lewis, Prof M Carre Application
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Performance Computing, computational and cutting-edge data analytics methods, and growth and retention of vital capacity in research software engineering and technical R&D are at the core of this endeavour. We