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Job description We are recruiting postdocs to contribute to research projects in the Mathematical Modelling of Infectious Diseases Unit, at Institut Pasteur in Paris. The candidates will be expected
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for integration into diagnostic tools Preparing manuscripts for submission to both medical and machine learning journals Qualifications Candidate profile: Required: PhD in mathematics, statistics, data science
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, households) to discover and model macro level regularities that eventually shall help reveal general principles of birth, renewal, aging, and death. Required qualifications PhD in demography, mathematics
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create an open, collaborative environment that will help promote life science research both nationally and internationally. The Giustacchini group , based within the Population and Medical Genomics Centre
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advance the use of mathematical and statistical models of infectious disease transmission as tools for anticipating and addressing socioeconomic and geographic inequalities in infectious disease morbidity
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University of British Columbia | Northern British Columbia Fort Nelson, British Columbia | Canada | 9 days ago
: · PhD in Mathematical Biology, Ecological Modeling, Economics, Fisheries Science, or a related field. · Strong background in ecological and/or economic modeling, population dynamics, and quantitative
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and Environmental Studies is looking for a highly motivated and independent individual to work as a Postdoctoral Associate. This position is for a post-PhD trainee preparing for a research scientist
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inspiring, and the position represents a unique opportunity for career development for a hard-working candidate. Qualifications Required skills A PhD degree within statistical genetics, applied mathematics
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model for interpolating and/or extrapolating concentrations of atmospheric pollutants (PM2.5, PM10, O3, NO2, SO2, CO) on the scale of the mobility network Estimating the exposure of populations as a
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advance the use of mathematical and statistical models of infectious disease transmission as tools for anticipating and addressing socioeconomic and geographic inequalities in infectious disease morbidity