Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
member's task is strongly intertwined with the tasks of the other team members. You will develop and optimize pioneering in situ 3D ED and 5D ED experiments in a liquid environment. You will minimize
-
For more than 50 years, the Vrije Universiteit Brussel has stood for freedom, equality and solidarity, and this is very much alive on our campuses among students and staff alike. At the VUB, you will find a diverse collection of personalities: innovators pur sang, but above all people who are...
-
Optimized Design and Control of Soft Aerial Manipulators), in collaboration with INRIA Lille Nord-Europe in France and its leading Defrost team in soft robot simulation and control, see https
-
at the Department of Engineering Management in the Faculty of Business and Economics are looking for a full-time (100%) doctoral scholarship holder in the field of Design, upscaling and optimization
-
farm layouts with high specific power density through the co-optimization of array design and control strategies. This project is a collaboration with CNR-INM Institute of Marine Engineering in Rome
-
consumption while guaranteeing optimal power production. You will work on the cutting edge of both wind energy and machine learning, two of the fastest growing scientific disciplines, to develop graph-based
-
behaviour in Luxembourg and beyond. EMUP will employ a data-driven approach and state-of-art methodologies to support decision-making for an optimal and smooth integration of the e-mobility sector, with
-
Department of Mechanical Engineering and the AI research group at the Vrije Universiteit Brussel (VUB) are looking for a PhD candidate to contribute to research on the optimization of a hybrid, laser-based
-
for remote applications: A crucial aspect of this project will be the optimization and deployment of developed signal processing and machine learning algorithms onto resource-constrained edge devices
-
resources, funding, and mentorship Your Responsibilities: Lead the design, development, and optimization of scalable AI inference pipelines Implement and experiment with LLMs, GNNs, multi-modal AI, and vision