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data from relevant cohort studies using cutting edge statistical techniques of causal inference. Appointment Details: Application Process: A full job description and person specification can be accessed
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such as Geography, Computer Science, Planning, Statistics, Mathematics, Physical Sciences, Social Sciences are likely to be relevant. Or other relevant or equivalent qualifications. They will also have
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, with a relevant PhD is desirable: Interacting particle systems for Monte Carlo methods and rare event simulation Statistical physics for transport modelling Branching structures and or stochastic
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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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studies. They will be skilled in the use of Statistical Parametric Mapping (SPM) or similar open-source neuroimaging software and they will have programming experience e.g., using R, Matlab or Python
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the research group analysing data to contribute towards the research project. As this role requires a PhD in Economics, Statistics or a closely related discipline, it provides an excellent opportunity to further
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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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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