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. This PhD will use state-of-the-art natural language processing (NLP) methods to extract quality signals from European patent documents and examine how financial markets incorporate this information
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to national priorities on sustainable agriculture and Net Zero targets. Furthermore, this project will enable the student to acquire skills in data analysis and visualisation, experimental planning, working
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robotics, automation, artificial intelligence (AI), and data-driven technologies. This is a multidisciplinary collaborative project supervised by Dr John Ward, Professor. Andy Cooper FRS, and Dr Gabriella
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LCA. Strong data analysis, problem-solving, and teamwork skills. Commitment to sustainability and research integrity. Number Of Awards 1 Start Date 1st October 2026 Award Duration 4 years Application
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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 Biomedical Sciences, your first application on the system will be deemed your
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Midlands Graduate School Doctoral Training Partnership | Warwick, England | United Kingdom | about 11 hours ago
. Quantitative analysis may include statistical modelling and computational techniques applied to homicide and serious-violence data. Qualitative elements may involve interviews with analysts and practitioners and
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. Experience and competence in using R or Stata is essential, along with excellent written and verbal communication skills and a PhD. The ability to handle, and analyse large, complex routine healthcare data
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Midlands Graduate School Doctoral Training Partnership | Warwick, England | United Kingdom | 9 days ago
or demonstrate resilience over time (Jørgensen et al., forthcoming). This PhD project, supervised by Dr Tom Perry (Warwick) and Dr Laurence Lessard-Phillips (Birmingham), will involve an advanced quantitative
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infrastructure reliability is essential to delivering a safer, more resilient and more sustainable railway. This PhD project will establish the first integrated national-scale analysis of hydro-vegetation risk
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data analysis This project will be based in the Department of Psychology at the University of Liverpool. To apply for the position, please email Dr Charlotte Buckley charlotte.buckley@liverpool.ac.uk