postdoc on missing data at École Polytechnique

November 17, 2016
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(This article was first published on R – Xi'an's Og, and kindly contributed to R-bloggers)

Julie Josse contacted me for advertising a postdoc position at École Polytechnique, in Palaiseau, south of Paris. “The fellowship is focusing on missing data. Interested graduates should apply as early as possible since the position will be filled when a suitable candidate is found. The Centre for Applied Mathematics (CMAP) is  looking for highly motivated individuals able to develop a general multiple imputation method for multivariate continuous and categorical variables and its implementation in the free R software. The successful candidate will be part of research group in the statistical team on missing values. The postdoc will also have excellent opportunities to collaborate with researcher in public health with partners on the analysis of a large register from the Paris Hospital (APHP) to model the decisions and events when severe trauma patients are handled by emergency doctors. Candidates should contact Julie Josse at polytechnique.edu.”

Filed under: Kids, pictures, R, Statistics, Travel, University life Tagged: École Polytechnique, Bayesian inference, CMAP, France, generalized SVD, latent variable models, matrix completion, missing data, Palaiseau, Paris, postdoctoral position, R

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