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patient samples. The Sheffield arm of the project will develop statistical and machine learning models to identify and validate predictive biomarkers of resistance evolution in Pseudomonas aeruginosa lung
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(DT) communication protocols for interfacing with different types of systems and data sources. Using the DR research to create guidelines for the development of the ontological structure for the DT
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model predictive control (MPC) methods to enable large groups of buildings to dynamically form coalitions and provide flexible energy services. Your work will incorporate advanced robust MPC techniques
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the design of the nozzle. The work will include the design of a scale- up dispersion system and perhaps the construction of a large-scale dispersion system which can be tested at ground level. There is no
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from which a continuous emulsion flow and recycled gas flow is taken. The work will include the design and scaleup and perhaps the construction of a large-scale system which can be tested at ground
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from which a continuous emulsion flow and recycled gas flow is taken. The work will include the design and scaleup and perhaps the construction of a large-scale system which can be tested at ground
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the design of the nozzle. The work will include the design of a scale- up dispersion system and perhaps the construction of a large-scale dispersion system which can be tested at ground level. There is no
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/Associate will be part of Newcastle University’s Electrical Power Group working with the Marine Resources and Renewable Energy Group. The aim of the role is to assist in the design modelling and build of a
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role: This post, funded by an ERC Consolidator Grant (DISCO), focuses on the dynamic behaviour of ferroelectric domain walls using advanced cryogenic and electrically biased 4D scanning transmission
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dynamics and tissue morphogenesis during embryo development using cellular, molecular and mechanical approaches. Cell movements underlie tissue patterns and shapes. Using chick embryos as the model system