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to have a strong analytical mindset and skills. Requirements: PhD degree in medicine, biomedical sciences, epidemiology, computational psychology, neurosciences or a related discipline. Affinity with
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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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degree in medicine, biomedical sciences, epidemiology, computational psychology, neurosciences or a related discipline. Affinity with scientific questions around brain development, mental health and
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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
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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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for someone with: a recently completed PhD in computational modelling or a related field, preferably in the area of population biology or infectious disease epidemiology. a proven strong interest in infectious