Sort by
Refine Your Search
-
Listed
-
Employer
- Ghent University
- VIB
- Université catholique de Louvain
- KU LEUVEN
- University of Antwerp
- IMEC
- Nature Careers
- Université libre de Bruxelles (ULB)
- Vrije Universiteit Brussel
- ;
- Flanders Institute for Biotechnology
- University of Liège (ULiège)
- KU Leuven
- NMWE - Natural Mineral Waters Europe
- Royal Military Academy
- University of Liège
- University of Mons
- Vlaamse Instelling voor Technologisch Onderzoek
- Vrije Universiteit Brussel (VUB)
- Washington State University
- altertox
- 11 more »
- « less
-
Field
-
that develops advanced AI compute solutions involving AI models, algorithms, implementations, sensors and hardware for small scale edge up to large scale distributed and hybrid hardware architectures
-
Software Development, Data structures and algorithms, symbolic AI, statistics and data management, with a clear commitment to the quality of the programme as a whole. All professors are expected to teach a
-
limited to): O-RAN based architectural integration of 5G/6G Terrestrial/Non-Terrestrial and Wi-Fi, development of advanced algorithms and optimisation techniques to enhance the performance and efficiency
-
and algorithms for event-based fusion of two physically-colocalized event-based and depth vision sensors, simulate and analyse these models, and explore possibilities to realize them in CMOS ASICs
-
-constrained platforms, without heavily relying on human interventions for hardware-aware optimization, or are unable to generate runtime-adaptive workloads, such as AI algorithms that evolve over time in
-
and Delivery: Design and develop training programs on Data Science and AI topics, including machine learning algorithms, data visualization, and statistical analysis. Provide foundational sessions about
-
integration of 5G/6G Terrestrial/Non-Terrestrial and Wi-Fi, development of advanced algorithms and optimisation techniques to enhance the performance and efficiency of the integrated RAN, spectrum management
-
Bekijk Nederlandstalige versie The Industrial Research Fund (IOF) supports the development of application-oriented knowledge and technology and its transfer to business, government and the non
-
platforms. Besides optimizing the hardware deployed in the field, the focus is on developing algorithms and associated software to efficiently generate reliable high-resolution datasets. The project focuses
-
developments of interest to the sector. He/she will assist NMWE in developing industry positions and providing meaningful contributions to relevant EU policy discussions. He/she will work closely with member