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and/or experience in two or more of the following areas: o Automation and robotics o Electronics or PCB design, testing, or manufacturing processes o Programming/software development skills o
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. Strong software development and testing skills. Desirable: Proven record of high-quality research. At least three years’ post-PhD or equivalent research experience. Strong publication record. Knowledge and
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Rapid Chloride Migration (RCM) test using the geochemical modelling software PHREEQC. Chloride-induced corrosion of reinforcing steel is one of the primary causes of deterioration in reinforced concrete
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with a focus on co-designing, testing and evaluating a range of monitoring and evaluation tools for AECPG. They will assist with capacity building including designing online training programmes and
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multiscale network structure. The researcher will develop scalable methods for computing these features on a very large knowledge graph, integrate them into a transformer-based language model, and test their
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project's analytical and computational objectives. Working closely with experienced team members, the role will involve building and testing models, preparing datasets for analysis, and supporting the wider
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the wider technical team on the Horizon Europe–funded AI-EFFECT project. The successful candidate will contribute directly to the integration, analysis, and testing of AI services developed across the AI
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-EFFECT project. The successful candidate will contribute directly to the integration, analysis, and testing of AI services developed across the AI-EFFECT partner network, supporting the evaluation
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turbulent, steady and transient conditions, including aspects of numerical shape optimisation which could be implemented in commercial software packages such as ANSYS Fluent and/or additional CFD