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Field
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at the intersection of statistics and epidemiology, and features an exciting case study involving novel GM and gene drive interventions for control of malaria-transmitting mosquitoes, with
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will need good communication skills, and will be able to work with and disseminate information to both academic and non-academic audiences. You will have a PhD in medical or bio-informatics, epidemiology
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. The successful candidate will have a Postgraduate degree, ideally a doctoral degree in a relevant topic in parasitology, zoology, molecular epidemiology, diagnostics or related topic, in-depth knowledge
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, statistical genetics, genomics, genetic epidemiology, and bioinformatics as well as in-depth knowledge of genomics and relevant software. The candidate will be required to demonstrate relevant research and
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research profile in mathematical ecology, mathematical epidemiology, or environmental decision science. You will work as part of a dynamic interdisciplinary team to build new mathematical frameworks
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and deliver research to tight deadlines. The role will involve collaboration with experienced researchers across medical statistics, epidemiology, informatics, social science and integration
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relevant field, including statistics, mathematics, computer science, epidemiology. Strong mathematical and quantitative skills. Experience in the implementation of mathematical or statistical models and
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The Leibniz-Institute for Prevention Research and Epidemiology, unit of “Implementation Research and Mental Health” led by Prof. Dr. Daniela Fuhr is offering a position as Research Fellow (m/f/d
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collaboration with experienced researchers across medical statistics, epidemiology, informatics, social science and integration into the broader CHILDs team. This is an outstanding opportunity to develop a
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Group and will work closely with external collaborators. The post-holder must have a postgraduate degree, ideally a doctoral degree, in a relevant topic and experience in epidemiological research using