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ADAPT-AI is seeking passionate researchers and practitioners from diverse backgrounds to join our innovative doctoral training programme exploring how audiences experience and engage with creative
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developing a system that not only monitors and manages the operation of e-bike charging stations with energy supply from solar energy, but also ensures their safety and sustainability. The project focuses
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Researchers Core Development programme (transferable skills training), provide those studying a research degree with a wealth of social and networking opportunities. How to apply For further information please
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will also be provided. Overview This project will develop an adaptable Machine Learning (ML) hardware architecture to solve Artificial Intelligence (AI) classification tasks using Internet of Things (IoT
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Award Summary 100% fees covered, and a minimum tax-free annual living allowance of £20,780 (2025/26 UKRI rate). Additional project costs will also be provided. Overview This project will develop
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of architecture standards and inform training and development of the systems modellers of the future. Programme and Location: The Engineering Doctorate Researcher will follow the EngD in Model-Based Systems
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with long-standing vaccine programmes, disease remains a challenge. In this project the student will use genomic and novel computational approaches to examine the S. pneumoniae causing severe infections
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‘foundations’ that develop in response to the loads applied to the tree. For example, trees subjected to high winds (inducing large moments) develop roots that prioritise lateral spread rather than depth
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insights into the microscale transport phenomena relevant to subsurface storage performance, including permeability evolution and CO2 containment. Furthermore, the framework developed here can be extended
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element modelling techniques and scripting. Osteogenesis imperfect (OI), also known as ‘brittle bone disease’ is a genetic condition which affects the development of type I collagen. Patients with OI have