13 Statistics Postdoctoral research jobs in Switzerland

PostDoc in Physiological plant ecology and climate change research

research in plant physiology, experience with sensor networks (automated dendrometers, sap-flow systems) and with processing and statistical analyses of large datasets is important. Teamwork within the group

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

Postdoctoral position in Computational biology / Data Science

, programming and statistical evaluation Machine learning analyses: implementation of established and new workflows Coordination of activities with Consortium partners, including presentation of results

Postdoc position: quantitative biology of non-growing bacteria

which work together to combine cutting edge statistical and computational tools with quantitative experiments. A list of our group's publications can be found on Google Scholar . [1] 1. M. Kaiser, et al

Postdoc position: quantitative biology of non-growing bacteria

it includes both experimental and theoretical researchers which work together to combine cutting edge statistical and computational tools with quantitative experiments. A list of our group's

Postdoc position on “Future Extreme Events”

credible transition pathways to Swiss society and politics. Main duties and responsibilities include : Your task will be to develop a statistical methodology which makes best use of high-resolution future

Postdoc Position on Genome Assembly at the Population Scale

of Agricultural Sciences at ETH Zurich investigates animal (epi-)genomes and transcriptomes. The group applies bioinformatics and statistical methods to detect and characterize trait-associated sequence variation

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