-
learning engineers. Your main tasks will encompass the development of novel machine and deep learning algorithms to understand, predict, and treat human disease. Using multi-modal genomic, image, and patient
-
Bayesian inference. The principal goal of the project is therefore twofold: 1. Devise methodology for Bayesian inference which restores the relationship between posterior variance and variance of the MAP
-
optical conductivity will allow to establish a comprehensive structure-property relationship of this new highly promising material class. Furthermore, the photovoltaic effect of niobite single junctions and
-
The Alexander von Humboldt Foundation and the Fritz Thyssen Foundation jointly present up to two Reimar Lüst Awards a year to highly respected humanities scholars and social scientists from abroad
-
, the life sciences, and the humanities and social sciences. Designed to incentivise especially innovative international researchers to conduct research stays at academic institutions in Germany, the Max
-
. The application documents remain with the DAAD. Your personal data is saved by the DAAD in accordance with the Federal Data Protection Act and with the EU Data Protection Regulation insofar as this data is needed