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Field
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applicant will have expertise in the area of health economics and financing in low- and middle-income countries, strong quantitative analytical skills, and must have a postgraduate degree, ideally a doctoral
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nucleic acids Proficiency in sample preparation for cryo-EM High level analytical capability Ability to communicate complex information clearly through both written and oral communication Experience in
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, policy analysis) Interest in the social, ethical and political dimensions of digital health technologies, AI, and/or data-driven medicine Strong analytical and organisational skills to apply initiative
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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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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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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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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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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