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Field
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Spinal cord injury (SCI) leads to devastating and often permanent loss of movement and sensation, yet there are currently no effective therapies to restore function. This PhD project will
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they will develop synthetic skills in organic and coordination chemistry, analytical skills in the collection, analysis and interpretation of key data using a range of techniques to characterise structures
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applications, data collection, and dissemination. The role will involve qualitative research such as discourse analysis, interviews, participatory workshops with carers and stakeholders, and data coding
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-equilibrium conditions. The project is a UKRI/NSF collaboration with Virginia Tech, and the use of direct numerical simulation, modelling and analysis will be complemented with experimental data from
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investigate the evolutionary trade-offs of apomixis using existing transcriptomic and marker-based data, alongside new whole-genome resequencing, from hundreds of closely related sexual, apomictic, and hybrid
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physics through to applications, and the student will develop skills in electromagnetic simulation, nanofabrication within a state-of-the-art cleanroom, experimental optical systems and data analysis
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. You will focus on machine learning, but will be involved in all areas. There are also spinout opportunities. For details: PhD information sheet The team have wide experience studying bumblebee behaviour
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AI techniques for damage analysis in advanced composite materials due to high velocity impacts - PhD
life. It also provides valuable skills in AI, materials testing, and data analysis. In addition to its technical innovation, this project offers a range of unique personal and professional development
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, e202402892. Funding Information This PhD studentship is funded through the BBRSC MIBTP Centre (Midlands Integrative Biosciences Training Partnership) https://warwick.ac.uk/fac/cross_fac/mibtp/ . The stipend is
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they are effective in this population of CYP and their families. The project is likely to include conducting systematic reviews, secondary data analysis of social care data and obtaining access and analysing data held