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GIF CDT: A Novel Gas/Liquid contactor for Direct Air Capture and industrial CO2 capture technologies
applications for the following project. This advert will close when a suitable candidate is identified, so early application is encouraged. The CDT boasts an exciting and challenging programme specifically
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, advice, and guidance to prospective students acting as a positive role model. Work closely with the Student Recruitment Manager and Officers to deliver the UK recruitment strategy using face to face and
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supports the semi-automated checking of research outputs, including machine learning and Artificial Intelligence models. Working closely with the Research and Innovation Platforms Team, you will oversee
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for implementation. These suggestions may encompass the data modelling and/or a graphic user interface. The research methodology involves the creation of oral histories specifically connected to resources in
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, propagation modelling. The supervisor of this PhD is active in all areas of RF and MMIC design and SDR. Applicants should have, or expect to achieve, at least a 2:1 Bachelors/Masters Honours degree in
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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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manufacture, in experimental techniques, characterisation and computational modelling. In particular, you will gain experience in electrode manufacturing techniques, electrochemical characterisation, particle
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that operate with minimal computing, sensing, and actuating resources—essential features for implementation in real-world scenarios. To this end, we will leverage sophisticated mathematical tools such as
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the underground pipe network. Data from different sensors are available such as from electro-optical cameras, Lidar, Inertial Measurement Unit (IMU), an acoustic array and others. Both data driven and model-based
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Artificial intelligence and machine learning methods for model discovery in the social sciences