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Field
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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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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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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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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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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
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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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practicals, assessment and feedback), including hours for preparation (e.g., to lead a seminar) and directly related compulsory professional development. They may do more than the minimum 144 hours per annum
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health, and intelligent operations. It is particularly suited to candidates with academic backgrounds in Industrial Engineering, Aerospace Engineering, Management Science, Operations Research, Transport
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and use innovative approaches to identify and characterise the chemical and physical interactions between cells that result in inhibition of detrimental fungi. This bioprospecting project will utilise