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We are looking for a postdoctoral researcher to develop and implement tools for analysis of output from Bayesian inference under phylogenetic models About the position A postdoctoral researcher
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areas Biomedical applications, social determinants of health or other demographic health areas Spatial microsimulation, spatially weighted regression, combinatorial optimization or Bayesian network
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for Advanced Epidemic Analytics and Predictive Modeling Technology”, which is a part of the first national network for outbreak analytics and disease modeling assembled by the CDC’s Center for Forecasting and
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projects. Expert supervisors and mentors from DTU and Novo Nordisk. Opportunities to participate in conferences, symposia, and networking events to share and enhance your research. Your role will be pivotal
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areas will be considered when selecting candidates: Machine Learning, Neural Networks, Numerical solutions of Partial Differential Equations and Stochastic Differential Equations, Numerical Optimization
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Expertise in quantitative modeling, computational and/or Bayesian methods Expertise using at least one programming languages in the analysis of scientific data such as R, Python, Matlab, or Julia. Expertise