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, epidemiology, data science, or a related discipline. Affinity with environmental health is valued. Furthermore, you have strong programming skills, and are comfortable working with large-scale data. You are
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, an independent thinker, have excellent writing skills, and are a team player. You hold a PhD in epidemiology, (medical) statistics, or a related discipline. Affinity with environmental health and OMICs data is
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position. The project is entitled: “Brain Influences of Phthalates and Bisphenols in Adolescents”. As postdoctoral researcher you would be required to: Conduct analyses of the data (environmental chemicals
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to: Conduct analyses of the data (environmental chemicals, cognition and behavior, and neuroimaging data) and to publish findings in international scientific journals. Co-supervise a PhD student. Present work
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using eco-epidemiological approaches, e.g., structural equation modeling, multi-variate statistics, and Threshold Indicator Taxa Analysis. Consistency in identified tipping points and affiliated
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learning with both fundamental and applied contributions. The application on epidemiological data will apply these innovative methodologies to refine our understanding of how environmental factors interact
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applied to pinpoint potential biodiversity tipping points in the high-resolution macroinvertebrate time series. This will be investigated using eco-epidemiological approaches, e.g., structural equation