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for a technician who will help with the quantitative analysis of a European travel survey and apply data science methodologies to predict travel behaviour in European cities as part of the EC funded
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Bayesian methods, case time series, case crossover; have experience with the management and analysis of large climate and/or health databases; have experience with Linux environment and scripting; have
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models, spatial Bayesian methods, case time series, case crossover. Have experience with the management and analysis of large climate and/or health databases. Have experience with Linux environment and
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on the in utero period. The candidate will be responsible of the data management and statistical analysis and will be supervised by Dr. Vrijheid and Dr. Bustamante. KEY RESPONSIBILITIES Data preparation
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interrelationship with external factors. The candidate will develop the laboratory tasks and fieldwork of the project. In particular, the candidate will be involved in the monitoring and analysis of chemical and
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to establish and consolidate a research line in molecular analysis of B-cell responses and antibody discovery, with a focus on parasitic infectious diseases. Activities carried out aim to generate basic