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. Application form Additional documentation Your full online application must include: A 3,000 word PhD research proposal (exclusive of references) A copy of your Bachelor's and Master's academic
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backgrounds who are eager to contribute to cutting-edge research at the forefront of nuclear technology. The PhD studentship comes with a competitive stipend. Objectives This PhD opportunity, offered in
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calculations of well-characterized 2D materials, simulations of electron microscopy images, and machine learning methods to reconstruct the 3D atomic positions of materials from a 2D microscopy image. The
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PhD studentship: Improving reliability of medical processes using system modelling and Artificial Intelligence techniques Supervised by: Rasa Remenyte-Prescott (Faculty of Engineering, Resilience
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of objects relevant to AWE’s mission. Applicants should have, or expect to achieve, at least a 2.1 honours degree or a master’s (or international equivalent) in a relevant science or engineering related
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and trends in wall adhesion. Through Syngenta’s involvement, we will have access to experimental to guide the project inform modelling decisions. Project Objectives for the PhD project The aim
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Supervisory Team: Prof Middleton, Prof Altamirano PhD Supervisor: Matt Middleton Project description: Black holes grow by accreting material through a disc which is bright across the EM spectrum
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Programme: Hybrid CFD and process simulation for process intensification of post-combustion CO2 capture School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Prof
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will be done by comparing the results with the existing failure theories. The theoretical mathematical representation will further be used to develop a gear testing simulation. This simulation will test
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Modelling post combustion amine CO2 capture plant School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Prof Mohamed Pourkashanian, Prof Lin Ma, Dr Kevin Hughes