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analytical foundations of a liner shipping model, undertake preliminary analysis, and support the translation of the work into a coherent, competitive research proposal aligned with UKRI and broader
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model, undertake preliminary analysis, and support the translation of the work into a coherent, competitive research proposal aligned with UKRI and broader international maritime research priorities. Key
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driven predictive models to improve optimisation, consistency and overall yield. The main focus for this role is to work with the driven research team who are at the forefront of sensor technologies
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of modelling and decision-support frameworks relevant to engineering and infrastructure systems. You should possess a good honours degree and a PhD (or equivalent professional experience) in Mechanical
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, modelling, and manufacturing integration. This is a unique opportunity to lead impactful R&D in sustainable engineering within a commercial setting, while receiving academic and professional development
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-related challenges in maritime transportation systems; 2) supporting the development and application of quantitative and data-driven models for assessing and predicting risks and system performance; and 3
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, mineralogical phase characterisation of materials, lab-based testing on electrochemical techniques, microstructure performance evaluation and computational modelling. You will be self-motivated with a proven
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craniofacial project and the application of dental data to the creation of a 3D digital avatar. You will require a 3D animation, computer science and/or anatomical modelling background. A knowledge of dental
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their suitability for industrial use through experimental validation, modelling, and manufacturing integration. This is a unique opportunity to lead impactful R&D in sustainable engineering within a commercial
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3D animation, computer science and/or anatomical modelling background. A knowledge of dental data and 3D visualisation is desirable. Face Lab, led by Professor Caroline Wilkinson, is an award-winning