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This is a fixed term externally funded role for 18 months offered at 0.9 fte. The role starts 1st July 2026. The role Based within the Faculty of Health, Science and Technology and reporting
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and international research partnerships. DCU is also the leading Irish university in the area of technology transfer as reflected by licensing of intellectual property. As a ‘People First’ institution
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. The post is based in the School of Engineering and Materials Science. About You This Postdoctoral Research Associate Role will join the multidisciplinary research group of Prof Martin Knight, focusing
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responsible for high-throughput engineering of phage genomesand high-throughput phenotyping assays. The successful applicant with work closely with Postdoctoral Research Fellows and they will be part of a
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research programme transforming the diagnosis and management of suspected seizures. Starting in June 2026, this three-year role is central to a multi-million-pound project funded by the Engineering and
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(PI), Saiful Islam, Peter Bruce), with UCL Chemical Engineering (Dr Rhod Jervis) and 4 industrial partners that brings together expertise in battery materials synthesis and device fabrication, advanced
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goals for the game changing impact of our science globally. Our employees enjoy access to state-of-the-art technology and a diverse range of specialist training opportunities, including support for
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science, engineering, or a related discipline, with significant postdoctoral research experience. The ideal candidate will have strong expertise in computational biology, machine learning, and quantitative analysis
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engineering of host plants. The successful candidate will use carbon tracing, single-cell transcriptomics approaches, and targeted mutagenesis in the model crop rice to address these questions. We are looking
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, Engineering, or a closely related discipline. You will be a materials or physical scientist with a strong track record in applying deep learning to computer vision problems, ideally within battery