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for overseas travel and access to world leading experimental facilities (PhDs under this scheme are for a duration of four years full time). Nuclear energy has underpinned the UKs transition to becoming a net
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-engine design and a key research area is the ability to measure complex flow fields. Within that context, the overall aim of this PhD is to further develop non-intrusive laser-based flow measurement
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is a technically challenging process due to the exponential number of variables that one has to account for, when making carbon footprint assessments for products and processes. The tools, methods
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The application of emerging technologies such as artificial intelligence, digital twin, blockchain, and the internet of things are growing fast, and their integration with complex manufacturing
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, these systems serve as complex functional approximators trained over an input-output data set. ‘Second Wave AI’ is the term used to describe the current glut of 'machine learning' style intelligence, where
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-hydrological systems. Assigning anthropogenic activities as a key factor in polluted freshwater ignores pollution as a manifestation of complex socio-hydrological effect. The research will employ ethnographic
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student eligible to pay the UK rate of tuition fees) but do not hold a UK degree, you can check our comparison entry requirements. Thousands of vermiform-based wastewater treatment and sanitation systems
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A fully funded PhD studentship in the Centre for Autonomous and Cyber-Physical Systems at Cranfield University. This is a great opportunity to work closely with Thales UK, who are a leading
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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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automated security systems that can detect and respond to dangers in real-time. With this opportunity, you will explore into cutting-edge technologies such as artificial intelligence, machine learning, and