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access to our employee assistance programme Join a supportive, ambitious PA community and make a meaningful contribution to the success of our University. Your organisational skills, attention to detail
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the Library Transformation Programme, and build strong, collaborative relationships across the University and beyond, engaging widely to influence thinking, inform strategic direction and enhance the Libray and
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, chemists and computational experts pioneering research using an advanced, optogenetically controlled human-based nerve-muscle model. Using functional, molecular and metabolomics technologies, integrated with
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wider skills ecosystem. About the role Reporting directly to the Director of Apprenticeships, you will set the vision for business development and lead a multi‑disciplinary team covering new programme
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on understanding what is essential for multimodal learning when computation, memory, or energy are limited. Rather than scaling up models, the research aims to identify principled, lightweight methods
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Cardiovascular disease remains the leading cause of death worldwide, highlighting the urgent need for rapid, cost-effective, and accurate diagnostic tools. Current methods for detecting cardiac biomarkers such as troponins, BNP, and CRP are often slow, expensive, and reliant on centralised...
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: Key skills: A good understanding of programming within the Unity games engine using C# and experience with VR application development. Essential skills and experience: A PhD in computer
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understanding of and experience with programming using Python for machine learning, C# and C++ Essential skills and experience: A PhD in computer science, AI, software engineering or a similar technical field, or
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computer and problem-solving skills. Excellent oral and written communication skills are essential, as the role requires explaining technical issues in a clear and appropriate manner. An interest in emerging
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. This cross-disciplinary centre will bring together academic expertise, technical specialists, and advanced computing capabilities to enable research at scale – from the processing of large, complex data sets