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, reproducibility and clinical impact of SMARTs. Existing resources tend to present methods at a high level and are not tailored to the practical needs of applied trial statisticians. This aim of this PhD will be
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connected large wind energy system dynamic modelling, control and analysis. In particular, the objective of this research programme is to lay the foundations of a new, model and methodology for Advanced wind
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, model calibration, numerical analysis, data visualisation, data curation and statistical analysis. The post holder will be responsible for these outcomes and may be asked to direct team members to assist
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crystallographic analysis of recorded time resolved data sets. You will be expected to carry out research programmes in ultrafast X-ray crystallography, undertake project management and/or supervise multi
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Start Date: 01/10/2026 Application deadline: 26/03/2026 Applications are invited for a fully-funded Ph.D. studentship in the Department of Aeronautics in structural power composites. This PhD is
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neurodegenerative disorders. The role centres on enabling high-quality, reproducible analysis across prescription data, longitudinal clinical records, wearable time-series data, and multi-omics datasets, with
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-of-the-art GPU and data storage cluster; direct access to a Titan Krios to the LonCEN consortium and the UK national cryo-EM facility at eBIC. By joining the Costa laboratory, you will become part of a
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of workflows. In addition, you will provide training to PhD students, postdocs, and new lab members in chemoproteomics workflows from sample preparation through to data analysis, helping to build capability and
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on industrial datasets and align with drug-development questions A PhD and equivalent experience in Biomedical Engineering, Computer Science, Data Science, AI/ML, Computational Biology, or a related field
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initiative. In particular, you will have: Experience conducting computational or data-driven research, ideally in environmental, earth system, or related domains Skills in data analysis, statistical modelling