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annotation of these metabolomes using multistage fragmentation (MSⁿ) data, incorporating novel computational methods and strategies (e.g. spectral matching, network-based approaches, machine learning) where
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research teams across Southampton and partner institutions. Data collection will involve travel throughout Southampton. About you Applications will be considered from candidates who are working towards
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research. Your main research responsibilities may include: Collect and analyse spectrum data using JOINER-NSF, establishing key patterns and trends in spectrum utilisation and creating automated techniques
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for a Research Fellow in Bioinformatics/Computational Biology to help develop, coordinate, and conduct robust analysis of high-throughput host protein data under supervision using advanced analytical and
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Implement and test different ML architectures for postprocessing precipitation forecasts over India. Determine how to maximise information extracted from the raw forecasts and how to optimise postprocessing
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contract up to April 2026 Background We are seeking a dedicated and motivated Research Fellow to join our team and contribute to the quantitative and qualitative data collection and analysis on a research
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developing new inverse modelling (‘retrieval’) methods to extract 3D information from JWST secondary eclipse observations. The models will be applied to JWST observations of giant transiting exoplanets
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experimental data, analyzing shear coefficients and drag forces, and contributing to interdisciplinary research on coastal protection, with an emphasis on delivering accurate and impactful modeling insights. Key
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support oncology staff to engage with, communicate and act on mainstreaming genomic testing information. This review will lead to evidence based recommendations and targeted outputs which may generate
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to the development of innovative and sustainable low carbon plastic waste management and recycling solutions. In this project the post holder will develop novel algorithms and methods for analysis of plastic data