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PhD Studentship available in the EPSRC Centre for Doctoral Training in Robotics and AI for Net Zero (RAINZ) This studentship is offered by the EPSRC Centre for Doctoral Training in Robotics and
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. Verifying this against real world scenarios and processes is a key milestone in the further development of this code for industrial application. This PhD covers a wide range of skills and so it is essential
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Project advert The Coriolis mass flowmeter (CMF), as one of the best and accurate flowmeters, is widely used in the oil & gas, water & wastewater industries. CMF determine the mass flow rate based
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. The focus will be on the development and analysis of a novel class of within-host models of respiratory viruses dynamics. The models will address the challenges of model parametrisation given the available
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) of high-value critical assets. Through this PhD research, algorithms and tools will be further improved and developed, validated and tested. It is expected that combining the domain knowledge and the
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hardware and data handling toolchains. The research will also involve modelling, analysis and characterisation of the system and components. The PhD will include a placement of minimum 3 months with Team
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dynamics and statistical physics. The BBGK equation is the governing equation for hypersonic, rarefied flow problems in aerospace and microfluidics, where the continuum and equilibrium assumptions of Navier
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, an innovative low-pressure airtightness testing technology co-developed by the University of Nottingham and Build Test Solutions Ltd (BTS). This is a fantastic opportunity to work towards a PhD whilst working
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PDRA studying centromere organisation and function. A 3-year post is available in the Henderson group to study the genetic and epigenetic structure of plant centromeres, and how this relates
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AI-Driven Digital Twin for Predictive Maintenance in Aerospace – In Partnership with Rolls-Royce PhD
predictive and explainable digital twins. The core challenge this PhD will tackle is how to help digital twins make sense of complex, messy maintenance data and turn it into clear, useful insights