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line with project objectives. Plan and conduct ecological monitoring fieldwork in three English cities, utilising novel instrumentation and tried-and-tested sampling methods (vegetation, birds, insects
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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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technical information clearly and succinctly to a wide variety of stakeholders, in a variety of methods, for example verbally or in presentation or written format Essential Application/interview Ability
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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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strength. You will have strong understanding of conducting research involving qualitative methods and working with patients for co-designing and testing lifestyle interventions. In addition, you will have
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Self Funded Dr Kristian Groom Application Deadline: Applications accepted all year round Details Research into next-generation additive manufacturing processes based on a new method for selective laser
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or Quality Control teams on one or more of the following activities; Batch record or test method review, technology transfer or validation. The ability to strictly adhere to written testing procedures, but
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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
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, advanced statistical methods and the potential to develop pioneering reconstruction and calibration techniques involving machine learning. The PhD will prepare equally well for a career in industry and
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via traditional analytical methods extremely challenging. This project will apply pattern recognition and machine learning techniques to a large database of experimental data to reveal early-stage