71 web-programmer-developer-"LIST" "https:" "https:" "https:" "https:" "https:" PhD positions at University of Nottingham in United Kingdom
Sort by
Refine Your Search
-
sensory science, psychology, and human–computer interaction, and receive training in experimental design, immersive protocol development, and advanced analytics. Industry engagement includes placements with
-
the UK Atomic Energy Authority (UKAEA). The student will be based at the University of Nottingham, but should expect to engage fully with the 3-month full-time training programme in the Fusion Engineering
-
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
-
A Design Methodology for Embedding Robotics & Automation into Circular Product Development This is an exciting opportunity to undertake industrially linked research in partnership with
-
are seeking a Ph.D. student to join our multidisciplinary team developing a radical solution for better detection and treatment that uses ultra-thin snake-like robots and advanced optical imaging techniques
-
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
-
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
-
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
-
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
-
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