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industrial quantum computing partners. The project is based in the School of Mathematics and Physics at the University of Physics, but it is funded and co-supervised by AWE. Through this partnership you will
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the test data but this will be limited to an engineering level assessment. To better leverage the testing and to develop more physically based models (increased accuracy / understanding of the limit
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Mobility allowance - £5,507 per annum Family allowance - £6,058 per annum (if applicable) Full-time: 35 hours per week Fixed-term: 3 Years The Opportunity: This PhD position on Physical Properties
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, including engineering, mathematics and the physical sciences. Students should be able to demonstrate aptitude for computer modelling and enthusiasm to address real-world problems of great policy significance
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’ 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 Zero (PINZ’) as the
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Computation and Data Driven Design of Materials for Onboard Ammonia Cracking This exciting opportunity is based within the Advanced Materials Research Group at the Faculty of Engineering which
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PhD Studentship: Experimental Investigation of Pharmaceutical Tablet Disintegration and Drug Release
should be submitted through the Chemical and Process Engineering Research PhD programme page (via the ‘Apply’ button above). In place of a research proposal, you should upload a document stating the title
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from traditionally under-represented groups in physics and astronomy including, but not limited to, women and Black, Asian and Minority Ethnic. The research programme will take place in
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or sensor arrays. Experience generating, processing and analysing large material property datasets including correlating between multiple techniques, or developing computational reconstruction techniques
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or sensor arrays. Experience generating, processing and analysing large material property datasets including correlating between multiple techniques, or developing computational reconstruction techniques