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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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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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or ancestral recombination graphs. You have experience in a high-level programming language. You are interested in developing open-source software for academic and applied work. You are independent, organised
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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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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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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
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internal and external partners/professionals Specialist knowledge & experience of quantitative research methods and analysing data from a range of sources Competence in analytic/statistical software such as