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into hydrogen and nitrogen under practical onboard conditions. Successful candidate will develop and apply computational methods, such as density functional theory based atomistic modelling and machine learning
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reviewed journals (assessed at: application and interview) Ability to communicate clearly and effectively both in writing and verbally along with the ability to convey complex concepts to a range of
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in correctly identifying high acuity cases within an increasing volume of lower acuity calls. This project will use mixed methods to assess the impact of this change. Data modelling and analysis will
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- advocating on behalf of the British defence estate - within UK Parliament. Framed by the sociological theorising of C.Wright Mills, modelled on NCRM Investigative Methods , and building on research by
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, this work could foster breakthroughs in drug development for AQP-related diseases. The student will build on current research to purify membrane protein ribosome bound nascent chain complexes (RNCs) of AQPs
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the second phase particles and recrystallization. The project aims to understand the complex interactions between alloy chemistry, processing, microstructure and performance. The alloy microstructure will be
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physics background. Experience of experimental and computational modelling of icing physics, instrumentation and imaging techniques would be an advantage. Funding The Centre of Propulsion and Thermal
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, these systems serve as complex functional approximators trained over an input-output data set. ‘Second Wave AI’ is the term used to describe the current glut of 'machine learning' style intelligence, where
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experience. Proven technical competence in experimental science and data analysis/modelling. Strong practical understanding in at least one of the following: medical device manufacturing, sustainable materials
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In this position, you will work on microscopy-integrable measurement technologies used to study three-dimensional cell culture models of breast cancer tissues. This PhD candidate position is