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, complex data sets to the training and deployment of cutting-edge AI models. To support this exciting new centre, we are seeking a Research Software Engineer to play a critical role in designing, developing
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of Engineering, to work on an EPSRC funded project – ‘Engineering Twist'. The project aim is to develop experimental approaches to characterise enriched continuum models for mechanical metamaterials, and their
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, supporting the provision of delivered food and beverage to internal and external clients. Lead by example as a role model for front-of-house staff, assisting with food and beverage service when required while
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of Expertise We're looking for candidates with experience in the following areas: Game engine workflows (Unreal and/or Unity) Level design and worldbuilding 3D modelling pipelines Blueprints or visual scripting
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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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and Data Science, Machine Intelligence, Human-Centred Computing, Cybersecurity, and Mathematical Modelling, underpinned by a strong culture of interdisciplinary collaboration and a commitment to
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to the training and deployment of cutting-edge AI models. To support this exciting new centre, we are seeking a Senior Azure Data Platform Engineer to play a critical role in designing, delivering, and optimising
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Development. Application requirements: Interested in digital modelling, fashion and sustainability Knowledge of 3D modelling, high to low poly workflow, retopology, UV mapping, material design, texturing, real
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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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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