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-ray hardware. Successful execution of the work will contribute to the wider realisation of AM in advanced engineering, and the development of new X-ray inspection methods. Additive manufacturing
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model reconstruction. Supervisor Associate Professor Hansung Kim Vision, Learning and Control Research Group School of Electronics and Computer Science, University of Southampton http://www.3dkim.com/Eng
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2:1 honours degree, or its international equivalent), in a relevant science or engineering discipline. Candidates must be UK Nationals and be willing to apply for, and able to obtain, Baseline
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Chemistry, Chemical Engineering, Materials Science or Physics background, and an interest in materials and gases. The project will have access to state-of-the-art facilities, as it is based on the School
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of Southampton is expanding its PhD research in the area of Quantum Technology Engineering. In addition to the research project outlined below you will receive substantial training in scientific, technical, and
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tasks. In particular, methods for incrementally learning skill representations jointly from textual descriptions and spatio-temporal information of action sequences will be developed and evaluated
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of media tuned to descriptive parameters. Working alongside Professor Richard Guest and Dr Jennifer Williams in the School of Electronics and Computer Science, this project will assess the utility of GAI
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the potential to set the foundations for an empirical theory of generalisation and revolutionise the way we think about model generalisation. Why join our team? Innovation: We are dedicated to doing good science
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the UK. If you like learning and applying novel concepts using the latest technology, you will certainly enjoy working with us. During your PhD studies you will have the opportunity to learn how to design
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good undergraduate degree (at least a UK 2:1 honours degree, or its international equivalent). Closing Date : 30 June 2024. Applications will be considered in the order that they are received