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Exciting Fully Funded PhD Opportunity: Drive Innovation in Hydrogen Technology. Project: High-Pressure Hydrogen Generation, Storage, and Use - Shape the Future of Clean Energy with Us! School of
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The funding provider: Health Data Research UK Subject areas: Wider Data Science Field, Maths and Computer Science Project start dates: 1st October 2025 ** (Please see the note below regarding
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to enhance their bystander effect. Breast cancer expressed HER2 will be used to develop proof-of-concept while other cancer cell-expressed targets will be explored to harness and optimise ADC technology for
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for the Science of Early Years and Youth at UEL A funded PhD position is available to work on a project exploring the impact of indoor and outdoor learning environments on children’s language and communication, and
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create a computational tool based on experimental input, simulated data, and machine learning methodology to extract 3D atomic structure information from 2D identical location STEM images. STEM image data
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at jun.jiang@imperial.ac.uk Further information on research in mechanical engineering at Imperial College London can be found at: https://www.imperial.ac.uk/mechanical-engineering/research/ and details
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in a related discipline. This project would suit motivated graduates from a wide range of STEM backgrounds—including environmental, civil, chemical or mechanical engineering, computer science, robotics
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(or equivalent) in a biomedical science. Experience in neuroscience and/or immunology is desirable. Project key words Retinal imaging, data-analytics, computer vision, big data Funding The studentship, funded by
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spaces and habits for them. This is a highly interdisciplinary project that combines computational modelling and behavioural science. The first part will be based on the use of state-of-the-art
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, interpretable models from experimental and operational data. The core goal is to balance model accuracy with computational efficiency, while meeting the needs of experimental validation. The framework will