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industry experts, gaining valuable skills at the interface of hydrogeology, environmental engineering, and computational modelling. Research Objectives will focus on: (a) Enhancing CoronaScreen by
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Overview The Engineering and Maintenance team provide a reactive and planned programme of works for every building within the university, working in collaboration with other university departments
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, offering seamless functionality and enhanced performance. However, the material incompatibility between flexible, soft bioelectronics and hard, rigid electronic components poses a significant barrier
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detector operation and data quality will be required, and so will be remote shifts to control detector subsystems. The student will also have the opportunity to spend a longer period of time (4 - 12 months
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DUNE detector calibration, in particular using atmospheric muons in preparation for detector operation. It may also include the development of neutrino oscillation analysis or search for other rare
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workflows, but also by helping to reimagine digital editions beyond the constraints of print-based models. In particular, it researches and analyses how computational and AI-driven methods, including but not
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their home countries and beyond. Training and Career Development As a PhD student, you will join the Faculty of Science Graduate School, which provides a comprehensive programme of professional skills training
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thus lead to poor plant performance and high pollutant emissions. This project aims to investigate the unique characteristics of combustion of very low volatile content coals using cutting edge
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Adopter programmes, where appropriate. We are looking for an enthusiastic, motivated graduate in (health) Data Science, Computer Science or related field who is interested in the deployment, user acceptance
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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