Below is a bit more information:
Postdoc position open for working on multivariate methods for multimodal brain imaging with a focus on the development of brain imaging biomarkers (i.e. a multimodal predictome). The candidate will work with blind source separation/subspace approaches (e.g. ICA, CCA) and extend these to multi-layer neural networks. A background in signal or image processing and/or machine learning and some familiarity with deep learning is preferred. Brain imaging expertise is helpful but not required. You will work with a large group of folks with a focus on developing new approaches and applying them to multiple large data sets of healthy individuals as well as individuals with mental and neurological disorders.