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, transferring and transforming data, and statistical data analysis. Experience in using one or more statistical software packages (e.g. R or similar). Experience working with routinely collected cardiovascular
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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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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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. Literature review of technologies and commercial market scanning. Modelling, simulation and data management. Design and analysis of hardware and software. Coding, debugging, and troubleshooting. Testing
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engagement. Research team: The role is embedded within a diverse and interdisciplinary research environment comprising experienced scientists in toxicology and human health, analytical chemistry, software
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clearly. Ability to assess resource requirements and use effectively. Ability to identify and learn new techniques and software skills, through self-study, training and/or CPD. Work within specified
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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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Candidate We seek an ambitious researcher with a strong foundation in Bayesian theory, machine learning, and mathematical modelling. You should be confident in software development and capable of passing a
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of developing hardware. Practical experience with optical fibres. Proficiency in writing instrument control and data analysis software (e.g., C/C++, Python or MATLAB). Excellent verbal and written communication