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biological, clinical, or environmental systems Programming skills in Python, Matlab, R or other equivalent * Please note that this is a PhD level role but candidates who have submitted their thesis and are
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evidence of expertise and completed research outputs Understanding of AI and, especially, deep learning techniques, with a demonstrable understanding of LLMs Proven ability to write code in Python Experience
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Knowledge and experience of various statistical packages such as R, Stata, Python Experience with large healthcare datasets or administrative data Understanding of observational study designs and causal
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Knowledge and experience of various statistical packages such as R, Stata, Python Understanding of clinical trial phases and Good Clinical Practice (GCP) principles Ability to adapt statistical methodology
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international conferences. The project will produce open-source software packages for Python and/or R, as well as user-friendly web applications aimed at practitioners across healthcare, finance, and industrial
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software development languages (e.g., Java, Python, C#) and frameworks. 6. Excellent leadership, communication, and interpersonal skills. 7. Deep understanding of Agile, DevOps, CI/CD practices and
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quantitative discipline) and relevant postdoctoral experience Knowledge and experience of various statistical packages such as R, Stata, Python Experience with large healthcare datasets or administrative data
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expected to be highly competent at programming (e.g. Python), experienced in human computer interaction, ideally with stroke survivors, and have expertise in working with Web Frameworks and DevOps. This is
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managing and converting between file formats Experience with spatial data analysis tools/platforms (e.g.: napari) Programming skills working with image data in Python Experience with metadata, data
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novices to subject matter experts) Desirable criteria 1. Significant Python development skills (e.g. working with Yaml and Json for significant ETL operations) 2. Significant web development