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closely with leading experts in epidemiology, omics, and environmental health within the Gravitation program Exposome-NL, a national research consortium that brings together more than fifty scientists from
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, (Computational) Epidemiology, Behavior Sciences or a related field; experience with programming and modelling (e.g., Python, R, NetLogo, AnyLogic, or similar); a strong interest in urban health, physical activity
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. The research programme is directed at several epidemiological, therapeutic, and policy aspects of chronic drug use with a focus on advanced affordable biomolecular and cellular therapies.
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research on the human and environmental health risks of exposure to potentially harmful agents in the environment, where research takes places within the domains Toxicology, Environmental Epidemiology and
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public health researchers. Your qualities You are a motivated and curious researcher with: a Master’s degree in Data Science, Urban Planning, Environmental Sciences, Geography, (Computational) Epidemiology
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restoration. In DIGDEEP, we combine large-scale ecological experiments with epidemiological modelling to uncover general rules of disease transmission in plant communities. As our PhD candidate, you will take
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-in-methodology-for-combinin… Requirements Specific Requirements A Master’s degree in epidemiology, (bio)statistics, health data science, or a related discipline; a strong foundation in quantitative
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agriculture and biodiversity restoration. In DIGDEEP, we combine large-scale ecological experiments with epidemiological modelling to uncover general rules of disease transmission in plant communities. As our
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PhD candidates with backgrounds in data science, epidemiology and medicine in a collaborative research setting. Excellent communication skills in English (Dutch is a plus). What we offer At Maastricht
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patient populations. Team spirit: you enjoy working with intensivists, fellows, and other PhD candidates with backgrounds in data science, epidemiology and medicine in a collaborative research setting