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BBSRC Yorkshire Bioscience DLA Programme: Predicting pathogen evolution: using experimental evolution to understand the impact of phage therapy on Clostridioides difficile School of Biosciences PhD
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of universities, informing research strategy, and determining the allocation of significant public research funding. Preparing a successful REF 2029 submission is therefore a complex institutional programme that
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, and computer scientists based between University of Bristol and University of Oxford. What will you be doing? The postholder will have responsibility for leading the technical delivery of the work
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following the renowned "Work-Integrated University-Industry Collaborative Talent Training Model." We offer cutting-edge programs in high-demand fields: Digital Technologies, Computer Science, Logistics
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Fully-funded PhD Studentship – Next-Generation Integrated Opto-Electronic Devices for Switching, Computing, and Sensing We are offering a fully-funded PhD studentship in the field of photonics and
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We would like to appoint an Application Developer to be responsible for the software development of a Greener Trials Toolkit. The Toolkit will be an online, open-access, digital carbon calculator
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We are looking for an exceptional academic lead with expertise in delivering multidisciplinary research in Computational Biomedical Imaging (or related fields), who will bring together expertise
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Job titleDeputy Dean (Computing) Job referenceRU04980 Date posted09/12/2025 Application closing date31/01/2026 SalaryCompetitive Salary Contractual hoursBlank BasisBlank Job category/typeAcademic
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Full-time: 35 hours Fixed term: 3 years with possibility of extension Up to 4 posts available The Opportunity: Join EPCC, the UK’s National Supercomputing Centre, in a highly technological and fast-moving field. We are seeking up to four motivated Application Developers. This role is for you if...
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cutting-edge computer vision technology. Working closely with the Principal Investigator, Co-PI, and interdisciplinary research team, RE will develop and implement deep learning algorithms to analyze trap