-
The successful candidate is expected to take a leading role in defining, acquiring, managing, and scientifically contributing to projects around AI-enabled space-borne perception systems for robotic
-
experience in the following areas: Applied Machine Learning for Autonomous Systems: Experience developing and deploying ML models for perception, prediction, or decision-making in autonomous driving or robotic
-
robotics paradigms on in-space servicing, assembly, and manufacturing, space debris removal, XR immersive teleoperation, robot multi-modal perception (vision and tactile), and multi-robot cooperation
-
teleoperation, robot multi-modal perception (vision and tactile), and multi-robot cooperation. Researchers with an interest in non-terrestrial robotic manipulation will find a young and vibrant team of over 23
-
context within which this regime/the different regimes through time developed. The project will also explore public perceptions of tax havens, in collaboration with partners specialising in fiscal sociology
-
include Luxembourg and its neighbour regions. Using an innovative multi-method design, the project integrates: Daily diary and ecological momentary assessment (EMA) approaches In-depth qualitative and