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responsibilities Design, deliver, assess, and evaluate campus based Data Science programmes. This will include identifying learning objectives, selecting appropriate curricula and teaching methods. Prepare and
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innovative use of technology and computation within arts, humanities and heritage research as both a method of inquiry and a means of dissemination. Digital culture is everywhere, and it is driven by cultural
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on advanced characterisation related to understanding average and local structural effects within the system. Experimental methods will include in-situ synchrotron and spallation source measurements, X-ray and
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envisaged that your research proposal will be predominantly qualitative; therefore you should have studied qualitative research methods at master’s level, and be familiar with qualitative interviewing and
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refinement. When dealing with significant geometrical changes in the flow field due to the deposition process, numerical errors can develop due to the large deformations required by the computational grid
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Improving Deep Reinforcement Learning through Interactive Human Feedback School of Computer Science PhD Research Project Directly Funded Students Worldwide Dr Bei Peng, Dr Robert Loftin Application
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global castings industry. The AMRC Castings Group is a leader in advancing casting technologies and techniques. Our team provides advanced casting expertise, including computer process modelling, design
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(solid-liquid) reactions, often involving variable viscosity; and the need to monitor several different properties in near real-time. The latter involved several orthogonal online monitoring methods
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teaching programmes, which will include identifying learning objectives and selecting appropriate curricula, selecting teaching methods, resources and reading, designing and producing study material using
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services including data sensing, information flow and processing, and associated information decisions with computational intelligence and control. The increasing size and complexity in cyber systems pose