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Field
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Wastewater is an important source of microbial (viral, fungal and bacterial) pathogens and the treatment of wastewater is regarded as a key intervention to reduce the spread of infectious agents
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and/or computer-based simulations, and a formal dissertation-style report. We are seeking to increase the diversity within our community and would particularly encourage applicants from underrepresented
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focuses on AI-driven fault diagnosis, predictive analytics, and embedded self-healing mechanisms, with applications in aerospace, robotics, smart energy, and industrial automation. Based
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would be based in the Faculty of Environment, Science and Economy at the Streatham Campus in Exeter. Project Description: Self-powered systems, which harvest energy from ambient sources (e.g., solar
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understanding of device function. The project will involve advancement and application of spectroscopic techniques and simulation tools for the measurement and analysis of the properties of spins and their role
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and controlling defects and lay the foundation for a thermal physics-based approach to process qualification. Additive manufacturing (AM) is a rapidly evolving technology that continues to drive
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analysis methods. You will gain expertise in integrating experimental total scattering and high-resolution imaging data with artificial intelligence and atomistic simulation tools to overcome current
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project description: Inkjet printing allows multiple materials to be 3D-printed simultaneously, useful for printing functional devices. Discovering the interactions of these materials and how to leverage
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labs framework. This studentship will include cohort-based training and activities, enabling students to gain wider skills and develop valuable personal and professional networks. Project Description
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Fully Funded PhD Research Studentship tax-free stipend of £20,870 Design, Informatics and Business Fully Funded PhD Research Studentship Project Title: Behaviour-Based Anomaly Detection