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multidisciplinary team involving investigators from basic science, epidemiology, genetic medicine, nursing, psychology, public health, and sociology from the German, French, and Italian parts of Switzerland
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Epidemiology, your primary tasks will be to: Develop and validate novel computational tools for analyzing metagenomic data Publish peer-reviewed research articles on bioinformatic tools and their application
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satisfactory performance. Applicants should have a Ph.D. degree in pharmacy, public health, epidemiology, biostatistics or other related disciplines, with post-doctoral research experience. Applicants with both
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experience in this clinical field is not essential. We welcome applications from early career researchers with relevant expertise in a wide range of quantitative or qualitative methods (e.g. epidemiology
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Master in Epidemiology or Public Health with experience in medical statistical analyses, an understanding of Health Economics, knowledge of the strengths and weaknesses of scientific research, excellent
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epidemiology and machine learning. The scholarship will fund course fees up to the value of home fees*, a tax-free stipend of no less than £20,780 per annum), plus additional support for research expenses
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University of Veterinary Medicine Hannover • | Hannover, Niedersachsen | Germany | about 11 hours ago
Description/content (Veterinary) biomedicine (project-related courses), interdisciplinary basic sciences coursework, key qualification (statistics, epidemiology, animal welfare, biological safety, presentation
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Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | 9 days ago
relevant first (or postgraduate) degree in the field of social or health sciences, bio/statistics, epidemiology or demography. Relevant experience in mathematical demography, statistics or other discipline
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), or a Master’s degree from a relevant discipline with a substantial quantitative component (such as medical/biomedical sciences, epidemiology, public health, health data science). Experience or interest
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important questions in cancer research, have extensive experience of quantitative analyses, and be a positive contributor to our focussed team. Individuals with experience of epidemiology are especially