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together to answer some of the most important questions about the causes, prevention and treatment of disease. We are seeking a Researcher to apply statistical and computational approaches towards
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computational approaches towards a new project which seeks to better understand the causes and consequences of the correlation between multiple traits and to quantify trait variation that arises from new
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information sciences. In parallel with basic research, we develop ideas and technologies further into innovations and services. We are experts in systems science; we develop integrated solutions from care
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the field of computational morphodynamics in plants. The work will be within the BBSRC-funded project "Tipping the balance: utilising hormonal crosstalk to control stem cell plasticity", with the aim
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Fixed-term: The funds for this post are available for 12 months in the first instance. The successful candidate will be based in the Department of Computer Science and Technology and will join the
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relevant environments. What we are looking for: PhD (or near completion) in Robotics, Artificial Intelligence, Computer Science, Control Engineering, or a related discipline; candidates without a PhD will be
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Research Assistant to investigate digital reading comprehension through large-scale data analysis. This role, funded by the John Fell Fund, sits at the fascinating intersection of computational
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Systems. The project is sponsored by UKRI with the aim to conduct modelling, analysis and optimisation of smart power distribution grids and integrated power and transportation networks. In collaboration
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The School of Computer Science and Electronic Engineering at the University of Essex hosts research in communications, networking, signal processing and optimisation. The post will be based within
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Offer Starting Date 1 Jun 2026 Is the job funded through the EU Research Framework Programme? Horizon Europe - MSCA Is the Job related to staff position within a Research Infrastructure? No Offer