6 Statistics Postdoctoral positions at ETH Zurich

Postdoc on resilience of forests to air pollution and climate extremes

extremes under different air pollution along a climatic gradient in Europe. Moreover, we will use statistical (e.g., random forest, generalised additive models) and process-based (e.g., SPA) models

Doctoral researcher in Dynamic stochastic learning of train dynamics as enabler to highly automated train operation

, econometrics, management/ decision sciences mathematics, statistics, computer science, physics or related fields. Your research track is consistent and shows a track record, or clear potential, for modelling

Postdoc Position on Genome Assembly at the Population Scale

and statistical methods to detect and characterize trait-associated sequence variation from short and long-read sequencing data. We are looking for a motivated researcher who is eager to work on cutting

Postdoctoral Researcher in Explainable Machine Learning for Health Status Monitoring and Modelling

experience in Machine Learning with a PhD degree from a university in Computer Science, or related fields, with a proven track record in statistical machine learning, deep learning, and graphical modelling

Postdoctoral position in Probability

found here . Your profile You must hold a PhD either in Mathematics, Theoretical Computer Science, Statistics, Theoretical Physics You must have a strong background in Probability Theory. Individuals with

Postdoc on resilience of forests to air pollution and climate extremes (up to 3 years)

different air pollution along a climatic gradient in Europe. Moreover, we will use statistical (e.g., random forest, generalised additive models) and process-based (e.g., SPA) models to project future forest