Sort by
Refine Your Search
-
atmospheric delay correction for spaceborne GNSS-R. As part of the GRS Laboratory, the PhD candidate will contribute to the development and implementation of cutting-edge deep learning techniques for space
-
degree in computer science or related discipline Strong interest in applied machine learning, including but not limited to deep learning Strong interest in image analysis / computer vision and pattern
-
order of 5 ECTs on specialized topics, close to a given DC personal project, to allow him/her to acquire a deep understanding of her/his subject. Second, the network-wide training will be offered by
-
personal project, to allow him/her to acquire a deep understanding of her/his subject. Second, the network-wide training will be offered by the consortium during the whole project life cycle through 4
-
leverage satellite communication, IoT and deep learning technologies in order to provide evidence-based decision support tools in near real time across a variety of thematic domains: disaster risk reduction
-
, such as the University of Liège and Aachen University, is anticipated. Your Profile The expected PhD candidate should have: A Computer Science background Expertise in Machine Learning, Deep Learning