106 algorithm-development-"Multiple"-"Prof"-"UNIS" positions at University of Nottingham
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will play a lead role in the production and analysis of these simulations, including code development, simulation runs, and like-with-like comparisons to observations. Moreover, you are encouraged
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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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portfolio, conducts cutting edge research into the development of future Intelligent Reconfigurable Manufacturing Systems. This is 3-year fully funded studentship and is only open to UK home students. The
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those with caring responsibilities. The fellowship, led by Dr Matthew Hannaford, is an ambitious and transdisciplinary project about the emergence, evolution and ongoing forms of climate coloniality in
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MR&PI team to develop their research portfolio and support delivery of our key objectives. Priority areas of research that are available for you to work in include experimental medicine MRI, AI
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, respectively. Suggested reading includes our publications: For snoRNAs: Chabronova et al., A. SnoRNAs in cardiovascular development, function, and disease. Trends Mol Med. 30:562-578, 2024. doi: 10.1016/j.molmed
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of continuous professional development and therefore the importance of providing opportunities, structured support and encouragement to engage in professional development each year. To find out more about the
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the University of Nottingham. This project aligns with Rolls-Royce’s technical needs to develop automated and hybrid tooling solutions for in-situ/on-wing repair and maintenance of gas turbine engines
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, combustion, and process optimisation. The project is focussed on the development of novel interface capturing Computational Fluid Dynamics methods for simulating boiling in Nuclear Thermal Hydraulics
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designing and developing experimental equipment suitable for containing the liquids at the temperatures needed, as well as optimizing the quality of the data obtained, both through experiment design and