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to £43,805 per annum We welcome applications from skilled, delivery-focused engineers to contribute to our successful railways-applied smart machines research programme. About the Role We are seeking a highly
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potential progression up to £71,050 per annum About the Role This role is responsible for leading and delivering communications across a complex change programme, ensuring colleagues are clearly informed
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this issue and we could use obtain data-driven models using machine learning algorithms such as artificial neural networks, reinforcement learning, and deep learning. A typical caveat of data-driven modelling
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should have a strong foundation in artificial intelligence, machine learning, and multi-agent systems, along with experience in programming, data analysis, and model development. Knowledge
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, Aberystwyth University, University of Lincoln and Brunel University London. Our vision is to develop a diverse cohort of scientists and innovators, with in-depth scientific knowledge, advanced technical
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ideas and collaborate in a multi-disciplinary environment. It aims to encourage an effective and vibrant research culture, founded upon the diversity of activities and knowledge. A tailored programme of
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road systems to support cleaner, more efficient and cost-effective logistics. The role involves building computer simulations and digital infrastructure using right-time data to test low-carbon and green
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the EU Research Framework Programme? Not funded by a EU programme Reference Number 5270 Is the Job related to staff position within a Research Infrastructure? No Offer Description Faculty of Engineering
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Programme? Not funded by a EU programme Reference Number 5286 Is the Job related to staff position within a Research Infrastructure? No Offer Description Faculty of Engineering and Applied Sciences
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to support cleaner, more efficient and cost-effective logistics. The role involves building computer simulations and digital infrastructure using right-time data to test low-carbon and green technologies, and