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to the training and deployment of cutting-edge AI models. To support this exciting new centre, we are seeking a Research Statistician to play a critical role in data analysis and validation using appropriate
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created specifically for this project. The work will include reworking 3D scans of sculptures into skinned, rigged and textured low poly 3D models suitable for use in the Games Engine. You will also be
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your knowledge, skills and experience match the essential criteria being sought. For an informal and confidential discussion about this position, please contact Ilona Motyer at Perrett Laver via
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performance, security, and usage, proactively identifying opportunities for improvement and automation. Lead on the implementation of governance, tagging, policy, and access control models to support robust
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. Research in the department is distributed across five main themes: Machine Intelligence Data Science Smart Infrastructure & Cyber Security Human‐Centred Computing Computational Modelling Role You will be a
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-aligned solutions. Your expertise will drive improvements across capability modelling, strategy alignment, innovation, and technical planning—ensuring security architectures are robust, flexible, and
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development and deployment. Knowledge of Version control software, such as GitHub. Strong documentation, reporting and presentation skills. Hands-on experience with image-to-text models (CLIP, SigLIP) Strong
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for our content future that supports open research, experiential learning, evolving publishing models, diverse formats, changing user needs and behaviour and inclusive access to knowledge. Another will
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to course information and carrying out daily audit checks. About the Role: Provide first-level guidance to internal and external academic and professional services staff. Assist with the operation of systems
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your CV and a Cover Letter (Your cover letter should be no more than 2 pages) via the portal, telling us why you're the right fit for the role - further information on the role and person specification