41 web-programmer-developer-university-of-liverpool PhD positions at University of Nottingham in United Kingdom
Sort by
Refine Your Search
-
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
-
We are seeking a research assistant with a background in computing to develop AI models for image reconstruction from data from our ultra-thin fibre-based spatial frequency domain imaging device
-
Applications are invited to undertake a three-year PhD programme in partnership with industry to address key challenges in manufacturing engineering. The successful candidate will be based
-
sectors. The University of Nottingham is the ideal place to carry out this research. You will join two internationally recognised groups – the Advanced Materials Research Group and the Hydrogen Group – and
-
are invited to undertake a three-year PhD programme in partnership with industry to address key challenges in on-platform manufacturing engineering. The successful candidate will be based at the Rolls-Royce
-
applications. You will also benefit from direct collaboration with industry, gaining skills and insights that are highly valued across aerospace, automotive and energy sectors. The University of Nottingham is
-
AI design of ultrathin lenses for compact imaging devices The Faculty of Engineering at the University of Nottingham is seeking an enthusiastic, self-motivated student who enjoys working as part of
-
studentships funded by the EPSRC Doctoral Landscape Award at the University of Nottingham, starting on 1st October 2026. The topics for the studentships are open, but your research proposal should relate
-
University of Nottingham and Adelaide University. As part of the project, you will spend one year at Adelaide University and three years at the University of Nottingham. The research will be conducted using
-
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