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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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will involve working with large-scale prospective datasets and applying advanced epidemiological and longitudinal modelling approaches to better understand modifiable risk factors and disease progression
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. This includes exploring the use of digital twins for bioreactors and deploying AI driven predictive models to improve optimisation, consistency and overall yield. The main focus for this role is to work with the
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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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-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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modelling. You will be self-motivated with a proven track record on molecular and microstructural analysis, waste valorisation with stabilisation, degradation kinetics & durability and engineering knowledge