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. Strong quantitative skills, with experience in econometrics and statistical analysis. Experience working with large datasets and appropriate software (e.g., Stata, R, Python, Julia, MATLAB). Excellent
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, including immunocytochemistry, Western blotting, and qPCR, alongside the application of microscopic imaging techniques. Responsibilities also include data collection, analysis, and presentation, as
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of a multidisciplinary team. Core skills include: Proficiency in data analysis and interpretation. Familiarity with research methodologies and clinical guidelines. Strong organisational skills and
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. Ability to work independently and as part of a multidisciplinary team. Core skills include: Proficiency in data analysis and interpretation. Familiarity with research methodologies and clinical guidelines
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research projects across areas such as: Zero Emission Technologies. Ultra Efficient Aircraft, Propulsion, Aerodynamics, Structures and Systems. Aerospace Materials, Manufacturing, and Life Cycle Analysis
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life-cycle analysis, GasTurb/PyCycle/NPSS, and CoCip is preferred Excellent written and verbal communication skills[AR1] is preferred. To apply, please contact Dr Eastwood - david.eastwood
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analytical methods for the analysis of linked data from electronic health records and genomic or molecular sources. Strong statistical skills (e.g. proficiency in R or Stata), along with excellent writing
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includes funded attendance at elite conferences (e.g., CHES, HOST, COSADE) and specialist training in cryptographic engineering, embedded trust, and side-channel analysis. International mobility is embedded
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design, thermal optimisation, and AI-guided system efficiency, while gaining transferable skills in data analysis, resource modelling, sustainability evaluation, and design automation. Exposure to both
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to present at conferences like SAFECOMP, DATE, and DSN. Training in AI explainability, lifecycle analysis, and compliance frameworks (e.g., ISO 26262, DO-254) will be central to your development, ensuring you