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We are recruiting for a PHP Developer to join our expanding digital team and are looking for someone who is enthusiastic, hard-working, keen to develop and ready for a new opportunity. Working as
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candidates will have a PhD or equivalent in a relevant discipline and experience in the development of machine/deep learning (ML/DL) methods for engineering and will use this experience in collaboration with
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skills in a clinical research setting. This is a unique opportunity for a recent PhD graduate or early postdoctoral researcher to play a key role in developing and implementing bioinformatics workflows
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high-quality laboratory research to develop and test novel diagnostic methods for heavy menstrual bleeding. They will work closely with clinicians, research nurses, and study participants to integrate
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-to-roll production of ultrathin, lithium-doped glass films with high ionic conductivity and near-zero defect density. The application of fibre-drawing methods in battery manufacturing is disruptive, placing
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testing. They will hold a PhD in the field of machine learning and prediction/decision modelling or related discipline. Applicants are expected to hold or achieve Advance HE Associate Fellowship
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interventions for self-managing health conditions, and of contributing to the process evaluation of randomised controlled trials in health research, including qualitative and public involvement methods
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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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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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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