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Science and Technology (CST) at the University of Cambridge. The goal of this PhD programme is to launch one "deceptive by design" project that combines the perspectives of human-computer interaction (HCI) and
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to train tomorrow’s leaders in earth and environmental science. For further details about the programme please see http://nercgw4plus.ac.uk/ For eligible successful applicants, the studentships comprises
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of how the system interacts with its environment. Traditionally, such world models—comprising transition and observation models—are specified by domain experts, based on their knowledge and assumptions
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personalisation of social/companion robot for long-term engagement Expanding the applicability of the social robot, Kaspar, to diverse user groups Machine Learning for Human-Robot Interaction Neuroethology
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relies on accurate models of how the system interacts with its environment. Traditionally, such world models—comprising transition and observation models—are specified by domain experts, based
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opportunities for both inhibitors and stabilisers of MRFAP1 interactions applicable to cancer and a range of other human diseases. The project will be supervised by Prof. Steve Smerdon (s.j.smerdon@bham.ac.uk
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to train tomorrow’s leaders in earth and environmental science. For further details about the programme please see http://nercgw4plus.ac.uk/ For eligible successful applicants, the studentships comprises
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Project Supervisors: Dr. Vibhu Jha, Prof. Sherif El-Khamisy, Dr. Gareth Evans, Dr. Martin McPhillie Project description: About the Project – The Challenge: Illuminating the ‘Dark Kinome’ The human
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. Richard Dickens and Dr Wenchao Jin This studentship is supported by the ESRC Centre for Digital Futures at Work . You will study within the Economics PhD programme at the University of Sussex Business
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The rocky intertidal zone provides a natural laboratory for examining how abiotic stressors and species interactions shape ecological patterns. Species in this habitat are easily accessible and act