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relevant subject area Experience working with large datasets e.g. CPRD or similar Experience with relevant statistical software (STATA or R) Research experience in Public Health/Epidemiology/Informatics
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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
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strong data management and statistical analysis skills, including proficiency in relevant software. Have excellent interpersonal and communication skills in English. Show the ability to work cooperatively
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-Guided Machine Learning. Essential Interview / Application / Test Strong software development skills (for example, in Python, MATLAB, C++, usage of HPC facilities) Essential Interview / Application / Test