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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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of world Reference numberSATM459 Entry requirements We are inviting applicants with a minimum of a 2:1 first degree in a relevant discipline/subject area such as engineering, manufacturing, computing, data
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An exciting PhD studentship opportunity fully-funded by the Engineering and Physical Sciences Research Council (EPSRC) Doctoral Training Partnership (DTP). This project would suit students with a
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transformation. As the amount of data increases, it is necessary to store, standardise, process, and make data accessible in a way that gets beyond the quirks of different teams and technology. This requires
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diverse and inclusive research group. The group is focusing on technologies for the system integration of data multi-link and the exploration of advanced communications technology and predications-based
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upgrade water treatment infrastructure and increase its resilience using nanobubble technology as a chemical-free approach. The successful candidate will work closely with the water industry to develop
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, Materials Science/Engineering, Aerospace Engineering, Physics, Chemical Engineering or related discipline. The candidates should be self-motivated, have good communication skills, and an interest in
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Engineering or aerospace or a related discipline. This project would suit those with a strong interest in aviation. Experience of computer programming (preferably in Java) would be an advantage. A logical
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for metagenomic sequencing, and analyse the results in consideration of environmental data collected by other organizations and citizen scientists. You will have the flexibility to expand the interdisciplinary
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, the development of automated security systems is essential for timely detection and response to threats. Such systems are critical to safeguarding sensitive data, critical infrastructure, and privacy, making