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University Medical Center Utrecht (UMC Utrecht); Published yesterday | Netherlands | about 7 hours ago
You will be working in the Health Economic Evaluation team, which is part of the Epidemiology and Health Economics department of the Julius Center for Health Sciences and Primary Care. The HEE-team
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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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, epidemiology, health policy, or a related discipline. Demonstrated ability to conduct literature reviews. Skills in qualitative research methods (e.g., interviews, focus groups, Delphi studies) and/or
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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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, (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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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