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PhD title: Mixed Methods Study of Depression Research Clinics as a means of addressing the primary-secondary care gap in NHS service provision. Principal supervisors: Dr Neil Nixon (School
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EPSRC Centre for Doctoral Training (CDT) PhD in Digital Metal with BAE Systems (Enhanced Stipend) Solid-state Additive Manufacturing of Nickel Aluminium Bronze alloys Background UK Applicants
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/or dynamic analysis of mechanical/robotic systems •Ability to use finite element modelling and to simulate complex mechatronics •Ability to implement control and kinematics with hardware-in-the-loop
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challenges to the electricity transmission and distribution system, as solar power is not dispatchable and therefore its incorporation as a major element of the generation mix requires the accurate prediction
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with positively charged regions within the protein ligand(s). The 3D organisation of these domains is therefore critical for their function. Novel breakthroughs in analytical methods (including those
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of mechanical and robotic systems •Ability to use finite element modelling and to simulate complex mechatronics •Ability to implement control and kinematics with hardware-in-the–loop •Background with relevant
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, combustion, and process optimisation. The project is focussed on the development of novel interface capturing Computational Fluid Dynamics methods for simulating boiling in Nuclear Thermal Hydraulics
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perform enzymatic degradation assays (including various pre-treatment methods, enzymatic cocktails, and reaction conditions) and optimise the yield of useful chemicals, including glucose (a precursor for
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staff are for such technologies and what integral role they should play in evaluating and ensuring an uptake of such technologies. The proposed method will be potentially applied to processes carried out
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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