71 web-programmer-developer-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" PhD positions at University of Nottingham in United Kingdom
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, the wider industrial adoption of ASDs remains constrained. Current development pathways are slow, labour-intensive, and require substantial quantities of material. Techniques such as hot-melt extrusion and
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of ASDs remains constrained. Current development pathways are slow, labour-intensive, and require substantial quantities of material. Techniques such as hot-melt extrusion and spray drying are typically
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Supervised by: Rasa Remenyte-Prescott (Faculty of Engineering, Resilience Engineering Research Group) Aim: Develop a comprehensive railway network delay propagation model capable of addressing a
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PhD project: Modelling Resilience of Water Distribution Networks Supervised by Rasa Remenyte-Prescott (Faculty of Engineering) Aim: To develop an modelling approach for assessing water network
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Studentship Information Supervisor: Vinay Shukla Subject Area: Plant & Crop Science Research Title: Root oxygen dynamics and development Research Description: The student will be part of a
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A Design Methodology for Embedding Robotics & Automation into Circular Product Development This is an exciting opportunity to undertake industrially linked research in partnership with
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funding to enrol on this PhD. For students from China, you are encouraged to apply in partnership with the China Scholarship Council - more information can be found here: https://www.nottingham.ac.uk
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to develop a comprehensive modelling and analysis approach for hydrogen systems, such as electrolysers and their BoP systems, in meeting some of the below challenges in: advanced diagnostics and prognostics
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to the analysis of time series. In particular, the project will examine and develop methods that go beyond the Markovian paradigm. It will consider a range of time series data, focusing on those that show
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at the tumour margin represent a key target for earlier and more effective therapeutic intervention. This PhD project will develop advanced MRI analysis methods and imaging-driven predictive models focusing