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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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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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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
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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
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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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to their potential for electrical control of quantum phenomena. The ultimate goal of this PhD project is to design of functional multiferroic superconductors by combining superconducting, magnetic, and ferroelectric
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analysis. Candidates are also expected to bring their own knowledge and approaches to design and execution of the project. The candidate will work in a dynamic team of scientists and collaborate with group