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. This data will help shape paediatric-specific T2T endpoints and facilitate the development of personalized treatment strategies. You will apply advanced statistical and machine learning methods, and your
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of Masters Programmes and a substantial number of postgraduate research students. We undertake research on a wide range of issues relating to human evolution, with a fo cus on model-based statistical inference
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is essential, as well as a high level of expertise in R coding and the application of statistics to multivariate datasets. The person hired will be required to travel to the Royal Botanic Gardens
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health and social care challenges of the 21st century. We employ traditional statistical and epidemiological methods, alongside cutting-edge artificial intelligence algorithms to gain insights into real
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Applications are invited for a Quantitative Research Assistant to work within the Medical Statistics team under Rafael Perera and Patrick Fahr on a climate change and health research programme. The
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Full time: 35 hours per week Fixed term contract for 24 months We are looking for a Post-Doctoral Research Associate on Statistical Learning & Financial AI for assisting with the execution of the co
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systems scientists, PhD students and support staff, and will be expected to contribute to various large-scale projects. Duties and responsibilities With a PhD in epidemiology, statistics, data science, or a
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, quantitative field, e.g. meteorology, machine learning, climate science, physics, mathematics, statistics or related fields. Evidence of good understanding (or capacity to develop understanding) of statistics
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: Have extensive experience with qualitative research including study design, data collection, and data analysis. Have high analytical experience to analyse and interpret statistical data whilst using
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data analysis, statistical methodologies and machine learning for investigating complex diseases and should be driven by the translation of these data to addressing current biomedical challenges. Main