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We are seeking a highly motivated PhD student with a strong scientific background and a desire to develop interdisciplinary research skills to join a cutting-edge project at the intersection
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ADTKD diagnostics and clinical trials. What you’ll do You will work at the interface of laboratory and data science, and clinical genetics. You will: Establish and characterise the UK ADTKD-MUC1 cohort
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the use of these AI-enabled technologies to cause harm to democracy itself. In light of these challenges, we seek an ambitious PhD candidate to establish a research agenda on the relationship between AI
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(or international equivalent) in a relevant subject such as Sport and Exercise Science, Biology, Human Physiology, or Biological Sciences A relevant Master’s degree, for example in Physiology and/or Nutrition Applied
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. This could conceivably be achieved by for example, exploiting differences in pH occurring between storage/usage and post-use in the environment, or by specifically engineering biodegradable sites
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nature of this project, please contact Prof. Tony McNally (T.McNally@warwick.ac.uk ) directly for further information. Essential and Desirable Criteria: 1 or 2.1 degree in chemistry, chemical engineering
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resource utilisation (post-discharge consultations and readmissions) and antimicrobial stewardship (reduced antibiotic use). Supervisors: Core supervisors to the PhD will be Professor Tricia McKeever1
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Application deadline: 15/08/2025 Research theme: Computer Science No. of positions: 1 Eligible for: UK This 4-year PhD project will be funded by DLA studentship and is open to UK students
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use this formalisation to encode our STV algorithm on encrypted ballots. This approach aims to ensure both the correctness and privacy of the tallying process, paving the way for verifiable and secure
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This fully funded PhD studentship, sponsored by the EPSRC Doctoral Landscape Awards (DLA) and RES Group, offers a bursary of £25,000 per annum, covering full tuition fees. The project focuses