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Cleaner coal technology - Developing new predictive tools for improving the combustion processes for coal/biomass fuels School of Mechanical, Aerospace and Civil Engineering PhD Research Project
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for application to fusion reactors, considering factors such as muon flux, detector sensitivity, and data analysis algorithms. PhD candidates will be tasked with developing simulations of complete detectors and
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Developing Sustainable Plant Based Meat Analogues School of Chemical, Materials and Biological Engineering PhD Research Project Directly Funded UK Students Mr Luc Dewulf, Prof Agba Salman, Prof
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general-purpose theoretical results that are applicable to a broad range of problems, and (2) to investigate algorithmic solutions for specific problems. We would be interested both in developing efficient
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Development. You will also aid in the development of portfolio and finance processes to improve performance. Policy support and creation are a key aspect of the role within the portfolio and experience
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research project aiming to co-develop an intervention to improve care coordination for people with motor neuron disease. The post provides an excellent opportunity to undertake high quality research within a
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al. 2023). This study has not been performed in multi-dimensional simulations due to a lack of available simulation software. Ruan et al. (2020) developed the first beam-MHD hybrid model capable
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of data from in-Situ AM Process Monitoring tools, machine agnostic algorithms will be generated for quality control. Knowledge transfer of the methods developed onto industrial machine platforms will be a
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year round Details This research is aimed at developing scalable Bayesian approaches able to solve complex and high dimensional problems with multiple objects and multi-sensor data. One such problem is
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experimental research as well as data analysis and algorithm development. Students with either an undergraduate honours degree (1st) or MSc (Merit or Distinction) in engineering, mathematics, neuroscience