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the context of global climate change. The work will entail developing quantitative prediction models that will be integrated to wider health systems software for the predictions to be directly used for early
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, clustering), and creating automated statistical reports and other relevant output from within statistical software. Application & interview 7 Extensive knowledge of randomisation systems, including experience
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TV and radio studio production while assisting students in lectures. You'll help students navigate industry-standard software and workflows, ensuring they gain practical, hands-on experience. We're
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are met and allow you to contribute to the collaborative design, integration and optimisation of real-time software and hardware prototypes. We anticipate that you will also have a strong publication record
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. Familiarity with statistical analysis software (e.g., STATA, R, SPSS) or computer programming (e.g. C++, Python, R) and experience working with health-related data will be advantageous. The ability to work
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), addressing the three points below. Wherever possible, cite concrete evidence – for example: funding body, year, value, your role, publicly available outputs (papers, software, policy briefs): Shaping
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bioinformaticians at all stages of the analysis project workflow Desirable criteria Excellent computational skills applied to HPC, big data, software development and web technologies Experience in teaching
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. Our software tool (MIROR) enables clinicians to analyse new cases and compare with previous cases of known tumour types and offers an AI prediction of tumour type and a confidence score. The researcher
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role, publicly available outputs (papers, software, policy briefs): Shaping interdisciplinary, data-intensive research Outline up to three occasions on which you initiated or materially shaped
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of technologies/products. • Proven hands-on experimental skills of developing hardware. • Practical experience with optical fibres. • Proficiency in writing instrument control and data analysis software