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include agent based/individual based modelling, SEIR modelling, geospatial statistics, Bayesian statistics, burden mapping, measuring the impact of the environment on disease among others. The PI has
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valuable knowledge and experience rarely available. The successful candidate will lead and advise on the statistical approaches to be adopted with the TILDA data to ensure robust and accurate findings. Key
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on statistics and biometry. The successful applicant will provide advice and support to researchers and collaborators concerning experimental design and statistical methodologies as applied to plant
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to engage with diverse audiences, including individuals with lived experiences of depression, through public engagement and public outreach initiatives. As a valued member of our team within the Statistical
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with R, Python, Netlogo), statistical analysis/econometrics, and epidemiology modeling. Experience developing mathematical/simulation models to address problems in public health, epidemiology, or health
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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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Assistant. About you You will have a PhD or MSc with experience in a relevant discipline (e.g. statistics, epidemiology, public health). You will have advanced quantitative and statistical software skills
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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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complex research protocols to address research questions Make significant important contributions to the group's research, analyze data and prepare graphs/ charts, including statistics. Contributes
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emphasized quantitative analysis skills (epidemiology, public or population health, statistics) with strong statistical methods expertise. Excellent research skills, including a strong understanding of