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This is a Research Fellow post to support the NIHR funded programmes OPtimal Timing of Induction of labour to improve Maternal and perinatAL outcomes (OPTIMAL): An individual participant data meta
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downloading searches, screening abstracts and full texts, data extraction ¿ Recruiting participants and collecting qualitative interview data ¿ Coding anonymised transcripts ¿ Working with members of the public
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be able to start on 6 October 2025 with relevant Rights to Work. The post is fixed term until 31 May 2026, with the potential for extension if funding is available. For more information: Professor
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with a background in cognitive psychology, data science or computer science and a willingness to develop skills in computational models of cognitive processes, statistical methods, and programming (R
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tissues. The data generated from this proof-of-concept project will be used to support follow-on research and translational grants. To ensure clinical relevance, you will also collaborate with patients
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. ¿ Study design, protocol development and laboratory diet planning. ¿ Leading on participant recruitment, data collection and analysis. ¿ Supervising a graduate level research assistant
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. You will perform experimental data acquisition with radioactive sources in the Liverpool Semiconductor Detector Centre to characterise various design implementations and generations of these prototype
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pathways, specifically chromatin and small non-coding RNAs, in regulating gene expression in the parasitic nematode Strongyloides. In this role you will use Strongyloides epigenetic profiling data
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computer codes to solve some of the daily research problems and have experience with high performance computing. You should have a PhD in Chemistry, Physics or Materials Science with a proven research track
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A Research Fellow position is available in the group of Professor M. J. Rosseinsky OBE FRS to work in a team of computer scientists and materials chemists funded by the AlChemy. AI in Chemistry Hub