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@nottingham.ac.uk . Please also contact this email for further information and an informal discussion regarding the PhD. The deadline for applications is the 21st November 2025. This is an excellent opportunity
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Electronic Health Record (EHR) data. Knowledge of analysing genomic data is highly desirable albeit not essential. This project offers a unique opportunity to develop state-of-the-art AI solutions that can
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(translated if not in English) a IELTS/TOEFL certificate, if applicable. You are encouraged to contact potential supervisors by email to discuss project specific aspects of the proposed project prior
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(Full Time only): sits.bham.ac.uk/lpages/COS027.htm (via the above ‘Apply’ button). Once you have applied, please email Esraa Elkhodary (e.elkhodary@bham.ac.uk ) with your details and application number
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AI techniques for damage analysis in advanced composite materials due to high velocity impacts - PhD
intelligence, particularly in computer vision and deep learning, offer an opportunity to automate and enhance damage assessment by learning patterns from multimodal data. This research seeks to bridge the gap
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technologies (LCTs, such as solar PV, electric vehicles, heat pumps or energy storage) to distribution networks. New active technologies that provide flexibility, such as network operator-owned power electronic
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in Health Services Management (Full Time only). Once you have applied, please email Pearl Pawson (p.pawson@bham.ac.uk) with your details and application number. Your application should include: A
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Bachelors, or Masters degree in Electronic, Chemical Engineering, Applied Physics, Physical Sciences or equivalent. Experience in one of the following topics will be a plus:· Working knowledge of MATLAB
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performing photocatalytic production of a green fuel, hydrogen, and removal of the potent greenhouse gas nitrous oxide. Those reactions were driven by electrons supplied by robust, light-harvesting Carbon-Dots
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device will be determined by the material used to make the crystal. In this project we will use electronic structure calculations guided by chemical understanding to discover new thorium compounds