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conditions. Our work combines traditional statistical methods with advanced artificial intelligence algorithms to identify patterns in disease. We also use qualitative methods to understand lived experiences
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stakeholders, assisting with everything from device configuration and software setup to account access and hardware diagnostics. While your main base will be Highfield, you may be asked to support outreach
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of the findings and ensure they can inform policy and practice. You will have a PhD or equivalent professional qualification in statistics or epidemiology, and experience or an interest in medical
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cognition and emotion processing. We invite applications from individuals with a background in human experimental psychology (participant recruitment, experimental testing, data analysis) and with a PhD in
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role will continue to establish and grow The Pre-hospital Research and Audit Network (PRANA). PRANA is creating an end to end research ready database. Currently there is no method for undertaking
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and the development of innovative design concepts, maximizing material properties and sustainable manufacturing methods. Qualifications: Strong background in aircraft design. Proficiency in Python
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complex health and social care challenges, particularly in the management of long-term conditions. We combine AI and traditional epidemiology with qualitative methods to develop impactful, real-world
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different sources Share data, software and models including experimental and simulation data Deploy close-to-data computation and containerisation of data and software Use AI to explore data Make the results
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students. All cohorts have now been recruited and are in the delivery phase of their PhDs until 2027. PhD projects are AI-focussed with a mix of hardware and software, focussing on the areas of Agent-based
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research in ship hydrodynamics, design optimisation, and marine decarbonisation. Our work combines advanced simulation, AI, and experimental methods to support a more sustainable maritime future. The Role