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reports to develop computational models that predict identification reliability. They will learn to design interpretable, legally robust AI systems, including attention-based deep learning models and
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academics proposing innovative or non-standard activity to develop creative, compliant delivery frameworks. Contributing to reporting, monitoring and continuous improvement activity across consultancy and
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, social, cultural, and structural factors. The PhD aims to develop and test a novel systems-based framework to inform both policy and practice, identifying leverage points for more effective intervention
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collaborated on multiple studies about the mental health of police professionals and has proposed a model on how PTSD develops from exposure to distressing material, recently co-producing a training course on
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from across the city and beyond, support them to succeed, and celebrate their success. We are committed to helping the people who work here to develop through our sector-leading Birmingham Professional
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Biomedical Engineering. The successful candidate(s) will join the world-leading Advanced Nano Materials, Structures and Applications (ANMSA) Group, a hub for innovation in the development of novel micro- and
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children’s development? • Through which mechanisms-of-change are different child outcomes supported in the short- and long-term? • What insights into child development can we draw from these findings? Possible
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develop through our sector-leading Birmingham Professional programme which provides all professional services staff with development opportunities and the encouragement to reach their full potential. With
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university. We want to attract talented people from across the city and beyond, support them to succeed, and celebrate their success. We are committed to helping the people who work here to develop through our
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of Applied Health Sciences and will play a central role in delivering the NIHR Research Professorship awarded to Professor Joht Singh Chandan: (NIHR306365, https://fundingawards.nihr.ac.uk/award/NIHR306365