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spectroscopic and structural properties of biomacromolecules. Likewise, it can also alter the activity and expression of proteins. However, there are many experimental challenges to be solved, including
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the action of electric and magnetic fields, on the other hand, they can create extremely shape-shifting structures Project aims: The main challenge of this project is to synthesise suitable polymeric
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heavier than their fossil fuel powered counterparts. A framework that can accurately model complex dynamics and generate projections for future scenarios is essential for understanding the impact of changes
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Computational Fluid Dynamics (CFD) to diagnose the air quality status of those spaces (presence of pollutants, ventilation, humidity) and to propose measures to improve it. Such measures might imply retrofitting
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and therefore, the ability of a liquid fuel structure to resist deformation by the air stream. This is of particular relevance to gas turbine fuel injectors which are operated at high pressure and
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project, which encompasses 4-6 PhD studentships across 5 research groups, you will be an integral part of a dynamic doctoral cohort. This unique opportunity provides the successful candidate with the chance
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will dynamically adjust turbine parameters such as yaw, pitch, and torque to maximize Annual Energy Production (AEP) while minimizing component stress. Additionally, a hybrid predictive maintenance model
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filled The overarching aim of this project is to find synergies between methods and ideas of modern machine learning and of statistical mechanics for the study of stochastic dynamics with application
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altering the proportion of structural (e.g. fibre) to non-structural (e.g. starch) carbohydrates in order to lower rumen pH and promote a more propionic-based fermentation. Alternatively, rumen fermentation
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aims to develop a novel theoretical framework for nonlinear and robust control of dynamical systems from a phase perspective. You will have the opportunity to freely explore multiple research directions