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an exciting and impactful pathway. This PhD will be based on the Derry/Londonderry Campus Project 2: From Data to Decisions: Investigating Barriers and Enablers of Analytics Adoption among SMEs in the UK and
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Summary Ulster University invites applications for two funded PhD studentships as part of the NWCAM2 (North West Centre for Advanced Manufacturing 2), a €9.98 million cross border project which is
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Apply and key information This project is funded by: North South Research Programme (NSRP), funded through the Shared Island Fund Summary Applications are invited by Ulster University for a PhD in
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Apply and key information This project is funded by: Department for the Economy (DfE) Summary This PhD project offers an exciting opportunity to develop next-generation biocomposites made from
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networks, enabling stress-testing of compliance systems against threats that do not yet exist in operational data. Working with Pytilia, a RegTech compliance technology provider, you will complete three
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Development of smart clothing for physiological monitoring of children with heart conditions at home
Nursing background who would work alongside colleagues in engineering and textile design. Important Information: Applications for more than one PhD studentship are welcome, however if you apply
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Information: Applications for more than one PhD studentship are welcome, however if you apply for more than one PhD project within Medicine, your first application on the system will be deemed your first-choice
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PhD studentship are welcome, however if you apply for more than one PhD project within Biomedical Sciences, your first application on the system will be deemed your first-choice preference and further
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information. Together, the results will be used to develop a guide to engaging men in future online health programmes. Important Information: Applications for more than one PhD studentship are welcome, however
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to the understanding that an integrated, multi-omics analysis may be optimal for unravelling this disease. This PhD studentship will focus on the development of data driven clinical data analysis through integration