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. Contact: For project questions: Prof. Oliver Buxton For application process questions: Lisa Kelly, PhD Administrator We are an Athena SWAN Silver Award winner, a Stonewall Diversity Champion, a Disability
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engineering or physics (preferably with first class honours or equivalent) and we expect the PhD candidate to develop the expertise required to lead an experimental research project, to train students
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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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the relationship between tyre operating conditions and friction behaviour, new characterisation and analysis techniques are required. In partnership with Mercedes-Benz Grand Prix Ltd, this PhD research will combine
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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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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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degree or a Master’s programme and/or have worked for some years; or are currently enrolled in a PhD programme overseas Upon successful completion of the PhD programme, the scholar will be considered
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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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Application ’. Use ‘Course Search’ to identify your programme of study: Search for the ‘Course Title’ using the programme code: 8856F Leave the 'Research Area' field blank Select ‘PhD in Process Industries; Net
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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