Sort by
Refine Your Search
-
Listed
-
Category
-
Field
-
sodium based glass-ceramic electrolytes for solid-state batteries. The project aims to deliver safer, more affordable batteries by focusing on sodium oxide materials that are chemically robust and easier
-
developing solid teaching skills. You are willing to work with problem-based learning and to involve students actively in their own learning processes through project work, supervision and dialogue-based
-
engineering, or similar. Solid mathematical and analytical skills, including signal processing and optimization. Knowledge about classical and/or quantum data communication, including for instance error
-
forward to receiving your application. Join us and help shape the future of safe autonomous systems. Description of the project This project aims to develop novel strategies for safe and adaptive navigation
-
. CLASSIQUE is organized into four research thrusts that rely upon interdisciplinary competences in: communication theory, networking, information theory, physics, mathematics, computer science, and statistics
-
of the PhD student shall be assessed at regular points in time. The ideal candidate will have some of the following skills: Localization and sensor fusion: Solid understanding of localization techniques and
-
algorithmic solution development. The group focuses particularly on automated decision-making in autonomous cyber-physical systems, combining mathematical optimization, machine learning, and decision theory
-
distinct brain regions, whereas effective connectivity characterizes the causal influences among them. Even in a resting state, the brain exhibits spontaneous neuronal activity organized into networks
-
that rely upon interdisciplinary competences in: communication theory, networking, information theory, physics, mathematics, computer science, and statistics This PhD project falls under Research Thrust RT3