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to train tomorrow’s leaders in earth and environmental science. For further details about the programme please see http://nercgw4plus.ac.uk/ For eligible successful applicants, the studentships comprises
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lack suitable hardware for data collection in the wild, but our ability to process and understand the resulting data suffers from major constraints. Here, advances in AI will be crucial, for instance by
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pathways, whilst their omission can introduce significant systematic biases in parameter estimation, detection pipelines, and tests of fundamental physics. In this PhD project, you will develop a
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uncertainty in meteorological forecasting, contrail process modelling, and satellite observations to quantify the skill of impact forecasts. PhD (or equivalent) in either aerospace engineering, software
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at scale. Training and Student Development: The student will gain interdisciplinary training in: Advanced molecular cloning, CRISPR-Cas systems, and genome engineering Bioreactor operation and process
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This fully-funded PhD studentship, sponsored by the EPSRC Doctoral Landscape Awards (DLA), Cranfield University and Spirent Communications, offers a bursary of £24,000 per annum, covering full
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cultivation and molecular cloning Quantitative data analysis and process optimisation Synthetic and molecular biology techniques Research design, interdisciplinary collaboration, and scientific communication
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. Candidate Requirements A strong academic background in Engineering, Mathematics, Physics, Architecture or Computer Science. An undergraduate degree with at least 2.1 in one of the above subjects is essential
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. The standard minimum entry requirement is 2:1 in Computing science or related fields. Mode of Study Full-time Start Date 1 October 2026 Funding Information: This PhD project is in a competition for a Faculty of
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computational modelling of evolutionary dynamics to propose new therapeutic strategies for adaptive intervention Where to apply Website https://www.icr.ac.uk/study-and-careers/phds-at-the-icr/our-phd-application