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September 2025 Background To support the advancement of NIHR funded research project through data collection and analysis, contributing to knowledge generation, and to provide research assistance to projects
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UKESM1 or similar models, advanced data analysis and machine learning, would be advantageous. Grade E: You will be near completion of a relevant PhD or have equivalent research experience, and be able
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genetic analysis in Arabidopsis . Generation and analysis of single cell sequencing data. Working with non-model plants or emerging plant models such as Ceratopteris . Skills The ideal candidate will also
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, electrical & electronic engineering, or equivalent. Background knowledge in signal representation/processing, visual data compression, and data-driven and machine learning/analysis. Prior research experience
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, experimental testing, data analysis) and with a PhD in Psychology or related discipline. The post-holder will join our multidisciplinary research team in the Centre for Innovation for Mental Health, School
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mobilisation activities. You will play a key role in conducting document analysis and semi-structured interviews with a range of participants, analysing qualitative data, and co-leading participatory workshops
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and conceptual abilities Proven ability to publish in conferences and journals Ability and willingness to train and supervise graduate students Background in physicochemical analysis (PhD or engineer
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tenable for up to 4-years. Applications are welcome from graduates of any university. Candidates will usually have completed their PhD, but must not have undertaken more than 3-years of postdoctoral work by
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not have been acquired earlier than 2020) * Proven experience in the analysis of multi-omics data (proteomics, metabolomics, and/or genomics, transcriptomics) * * * * Strong expertise in machine
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) facilities and providing support on experimental test campaigns. This will include assisting with tunnel and model instrumentation, data post-processing, analysis and management for experimental projects