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required by the projects in motion. You will need substantial previous experience (minimum of three years) of UK based construction project management of similar values with a high proportion of that being
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deliver our ambitious research agenda. In this pivotal role, you will work alongside the Academic Directors to bring EBRI’s research strategy to life—creating the systems, culture, and support structures
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Software Engineering, Software Project Management, Data Structures and Algorithms and Data Base Systems. The Artificial Intelligence and Data Science Programmes has modules in Natural Language Processing
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Software Engineering, Software Project Management, Data Structures and Algorithms and Data Base Systems. The Artificial Intelligence and Data Science Programmes has modules in Natural Language Processing
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approaches to improve cell efficiency, thermal stability, and structural integrity at high operating temperatures. In close collaboration with project partners, you will carry out computational investigations
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the innovation area of sustainable materials. Candidate Profile: PhD in Civil Engineering or Materials Science, specialising in construction materials. Alternatively, candidates with an MSc and one to two years
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. The project will deliver an integrated AI-enabled platform, which would be a unique product in the market, offering DeltaXignia customers a choice of pathways to consider as they manage their structured data
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-EU-funded project (Engineered Combined Sensing and Telecommunications Architectures for Tectonic and Infrastructure Characterisation - https://ecstatic-project.eu/ ) aimed at pushing the boundaries
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expected to be three days per week on average and as required by the projects in motion. You will need substantial previous experience (minimum of three years) of UK based construction project management