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Field
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This 3-year PhD position offers an exciting opportunity to join the STRIPS Project (Swansea Tata Research and Innovation Prosperity Partnership for Printed Perovskite PV). As part of the STRIPS
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) change tread pattern (or tread groove depth), ii) aerodynamics by changing the surface texture of sidewall, iii) noise cancelling (vibration), iv) mechanical properties (hardness). Resources: The PhD
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analysis, focused on selected electrodes or brain regions. We would like to investigate how graph deep learning models can be designed to capture dynamics in brain signals for the accurate detection, and how
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student with project development, site selection, data collection and GIS mapping. Suggested timeline: 1 week project design and development, 2 weeks GIS mapping, 1 week fieldwork, 2 weeks collate and
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technologies. Finally, you will work with residents to co-design and evaluate potential technology-based solutions. Based within the Centre for Digital Innovations in Health & Social Care, you will join an
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, overcoming the tough fungal cell wall. You’ll also design robust workflows for targeted long-read sequencing of clinical and environmental samples, enabling accurate identification and resistance genotyping
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with Dr Sophie Nightingale (Psychology), Dr George Brown (Linguistics), and Professor Claire Hardaker (Linguistics) to add to the evidence base needed to design and develop approaches to mitigate
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: Framework Development: Design and implement a generative deep learning framework for cross-modal integration and analysis, resilient to distribution shifts. Correlation Discovery: Identify interpretable
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This PhD project aims to advance Safe and Sustainable by Design (SSbD) pharmaceutical manufacturing by integrating cutting-edge methodologies, including computer-assisted retrosynthesis, end-to-end
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towards the OMF Collaborative Studentship. This proposal should give an overview of how you would plan to realise the advertised studentship. This should communicate an awareness of pertinent educational