The position is connected to the project “Bayesian Rank-based unsupervised Integration of multi-source Data in cancer Genomics and the digital Economy (BRIDGE)”, recently funded by the Research Council of Norway (RCN) under the open scheme “Researcher Project for Scientific Renewal”, and it is fully funded for 3 years. The project is conducted in close collaboration with the SFF Integreat, The Norwegian Centre for Knowledge-driven Machine Learning (ML), a centre of excellence funded by RCN and in operation until 2033. The project PI and team are also in close collaboration with the Epigenomics of Breast Cancer research group at Oslo University Hospital (OUS). 

The research group on statistical models for high-dimensional and functional data is part of the larger and active research environment on “High-dimensional statistics” at OCBE. OCBE has expanded considerably during the last decade, becoming one of Europe's most active biostatistics groups with currently over 70 researchers. OCBE is internationally recognized, with interests spanning a broad range of research areas - including methods for high-dimensional data and data integration, especially in molecular medicine; mathematical modelling of cancer; probabilistic modelling and Bayesian inference, stochastic algorithms and simulation-based inference; causal inference and time-to-event analysis; and statistical machine learning in general. OCBE has numerous collaborations with leading biomedical research groups in Norway and abroad.

For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/280960/three-year-postdoc-position-in-statistics-at-the-oslo-centre-for-biostatistics-and-epidemiology