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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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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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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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, 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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) for different scientific applications, including simulations, large-scale data analyses and AI. This will involve designing test protocols, building test benches to track power and energy usage, and running