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Award summary 100% home fees covered, and a minimum tax-free annual living allowance of £19,237 (2024/25 UKRI rate), plus an additional industry enhancement on top of this. An additional allowance will be provided to contribute towards consumables, equipment, and travel related to the...
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, the process of recovering real-space images remains unclear due to the inherent and currently intractable complexity of deep learning methods. In this project you will develop Physics-Aware Super-Resolution
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achieve excellence in public and global health research, education and translation of knowledge into policy and practice. We are seeking to recruit a Research Fellow (1.0 FTE) to work on a process
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others to manage the renewal process as well as arranging cover, managing claims and providing expert advice to colleagues. The post sits within our Finance team. We offer a highly competitive rewards and
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-reported levels of physical activity, fatigue, sleep, social participation, and health related quality of life in people who suffer stroke. 2) To investigate whether exercise (ReSTORe) or fatigue (RICFAST
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Post Title Senior Technical Officer - Microfluidics and Aerosol Instrumentation SBU/Department: School of Physics, Engineering and Computer Science FTE: 1.0fte (working 37 hours per week) although
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the automated system until 10pm of the closing date. Any queries regarding the application process may be addressed to [email protected] . Please quote reference EPH-EPED-2024-15. The supporting statement section
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at the forefront of pioneering discovery, nurturing the next generation of industry leaders. All our people are important to us, and we have services dedicated to your mental and physical wellbeing from an Employee
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Act 2006. Full Time, Fixed Term Contract for 6 months The Estates Department is in the process of further developing the Colleges historic estate to provide a 21st century campus and user experience
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will be to shortcut the current search process in classify crystallographic orientation. This will be built upon where machine learning algorithms will be developed to extract material elasticity