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analysis will focus on building sophisticated Deep Learning models, e.g., Long Short-Term Memory (LSTM) networks, to accurately model DPs over time and predict mood deterioration. The project will implement
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inaccurate, and rain gauge networks, while reliable, are too sparse to capture highly localised storms. Reliable, high-resolution rainfall data is urgently needed to improve flood prediction, climate
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Description DC6: Molecular and tissue determinants of adverse tissue outcomes in hearing implants. Join the prestigious Marie Skłodowska-Curie Actions (MSCA) Doctoral Network SHIELD (Strategies for Healing
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, and providing world-class professional development and networking opportunities that strengthen both research outcomes and student success. The Built Environment group is part of the School
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providing world-class professional development and networking opportunities that strengthen both research outcomes and student success. The Applied Informatics group is part of the School of Computing
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, and providing world-class professional development and networking opportunities that strengthen both research outcomes and student success. The Computer Science group is part of the School of Computing
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providing world-class professional development and networking opportunities that strengthen both research outcomes and student success. The Engineering and Mathematics group is part of the School
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upon front-line activities of groups such as the NHS Innovation Leads through to international knowledge and expertise of international partners and networks. The All-Wales Academy for Innovation in
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This is a four-year (1+3 MRes/PhD) studentship funded through the Cambridge EPSRC Centre for Doctoral Training in Future Infrastructure and Built Environment: Unlocking Net Zero (FIBE3 CDT). Further
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Northern Advanced Research Training Initiative network. How To Apply Please see https://www.ncl.ac.uk/postgraduate/fees-funding/search-funding/?code=nubs012 for application instructions. Shortlisted