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methods for analysis of infectious diseases, and/or mathematical modelling of infectious disease processes. You will undertake literature reviews and appropriate statistical analyses to inform the most
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postgraduate degree, ideally a doctoral degree, in a relevant topic. The role requires skills and expertise in data science, statistics, and quantitative epidemiology. The position is based within a research
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statistical analyses to inform the most appropriate structure and parameterisation of mathematical or statistical models. You will be responsible for communicating key findings to stakeholders that include
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London clinicians and scientists to evaluate novel interventions and medications in psychiatry, psychology and neuroscience. With a background of epidemiology and medical statistics the post holder will
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View All Vacancies Overview of the Role Do you have experience of teaching medical statistics/biostatistics? Would you like to work in an academic environment delivering statistics teaching and
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potential target mechanisms, you will use Mendelian Randomization to determine which associations have causal evidence. The role will involve statistical analysis of ancestrally diverse datasets, writing
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community. To identify potential target mechanisms, you will use Mendelian Randomization to determine which associations have causal evidence. The role will involve statistical analysis of ancestrally diverse
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a hip or knee replacement. The project team, led by Alex Bottle, professor of medical statistics, is multidisciplinary, including surgeons, allied health professionals, and social scientists. You will
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Applications are invited for a Medical Statistician to join our growing Trial Statistics team in the Primary Care Clinical Trials Unit. The successful applicant will be expected to work closely and
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usefulness of the forecast, and perception of forecast performance by the public. Statistical post-processing techniques can help to reduce forecast errors by training machine learning models on data sets