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Field
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, artificial neural networks and bio-inspired robotics: "Rhythmic-reactive regulation for robotic locomotion" (Supervisor: Prof Fulvio Forni) will apply techniques from nonlinear control and optimisation
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justice and inequality in the context of the United Kingdom. As community engagement is central to this research, we particularly encourage applications from candidates with strong existing networks with
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Social Sciences, and the Northern Advanced Research Training Initiative network. The award is available to home and international candidates. If English is not the candidate’s first language, the candidate
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to pursue a rewarding and fulfilling career in a supportive environment. You will be contractually enrolled into the Teachers’ Pension Scheme (TPS) – one of the largest and most generous defined benefit
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contractually enrolled into the Teachers’ Pension Scheme (TPS) – one of the largest and most generous defined benefit pension schemes in the country. Find out more about the TPS. If you are, or have been, a
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processing, or optimisation to turn heterogeneous knowledge (channel/network state, maps and topology, mobility, hardware constraints, and task-level KPIs) into reliable and efficient decisions. The work spans
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including machine learning. This research will support the path to net zero flights and there will be opportunities to become involved in practical aspects of fuel system design and testing during their PhD
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regarded as being cyber-physical systems, as they are controlled by digital networks and depend upon software and digital communication systems. The reliance on cyber-physical components is growing as
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will have access to the wider network of the Centre for Microbial Interactions at the University of East Anglia which consists of over 200 researchers studying all Kingdoms of life. Person specification
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health. You will develop and apply cutting-edge machine-learning techniques to identify the most informative indicators of ecosystem change and use them to build dynamic Bayesian network (DBN) ecosystem