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Applications are invited for a fully funded PhD studentship in the area of autonomous systems (in particular that of human machine teaming modelling) within the School of Aerospace, Transportation
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the performance of UK WWTPs, which will require water utilities to assess technologies and practices for future micropollutants consents. This project aims to understand and develop technologies that can act as a
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to making an impact in the worlds of food, agriculture, and industrial products, and advancing humanity for a sustainable future: www.https://www.icl-group.com/sustainability/ Undertaking a PhD at Cranfield
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Industry 5.0 goals. Expect impactful insights into advanced technology integration and human expertise, driving sustainability through improved system performance. Students benefit from collaboration
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the North West of England in containment fuel storage ponds. These ponds face sludge management challenges, with algal blooms affecting visibility and operations. Sellafield Ltd's ongoing trials using
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are 'explainability' and trust - as the machines learn, they are based upon statistical outcomes on large data sets, rather than human intuitive information. Another problem lies with the fragility of the systems
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environment to streamline and optimise production processes. Manufacturing automation systems attempt to achieve enhanced human-machine interactions with a view to improving efficiency, productivity and the
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political economy of freshwater governance and freshwater pollution B. Establish the relationship between public perception and freshwater governance C. Identify how freshwater ecologies, physiologies and
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The ever-increasing use of data in real-world applications is a clear indication that we are moving into the era of Industry 5.0 where human-machine collaboration would be key to enable digital
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. The programme aims to develop a deeper, holistic understanding of the interactions between humans and the environment to support sustainable solutions to the environmental challenges affecting our river, lake