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with singers and other project participants and analyse qualitative data using appropriate analytical methods. Analyse and interpret quantitative survey data collected through the project and contribute
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25 Jul 2026 Job Information Organisation/Company CRANFIELD UNIVERSITY Research Field Biological sciences Chemistry Environmental science Geosciences Researcher Profile Recognised Researcher (R2
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and positive-negative separation. Design and validate assays for single-nucleotide variants and low-abundance variant alleles in a wild-type DNA background. Characterise analytical performance
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near completion), or equivalent PhD level qualifications. High level analytical capability Ability to communicate complex information clearly Ability to work collaboratively in a multidisciplinary, multi
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with colleagues developing simulation models, digital twins, data architectures and federated transport/manufacturing models. This role will provide the optimisation and decision-support capability
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simulation models, digital twins, data architectures and federated transport/manufacturing models. This role will provide the optimisation and decision-support capability required to analyse and improve
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Substantial experience of developing and implementing innovation-focused economic analysis using routine data, comparative data and decision analytical models Substantial experience in at least one software
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) as Art Historical Tool Network Analysis and Cultural Data Human–AI Collaboration in Art Historical Interpretation Digital Provenance Research and Collection Histories Computer Vision for Art Historical
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statistics package, including data management, specification of different analytical models, randomisation, statistical matching, power calculations, panel datasets, multiple comparison adjustments, missing
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collaborate nationally through BioFAIR project and ELIXIR-UK Southampton Node. About you: You will have a quantitative or RSE background and an interest in applying computational and data-driven methods