Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Ghent University
- KU LEUVEN
- Nature Careers
- University of Antwerp
- VIB
- Vrije Universiteit Brussel
- IMEC
- Université de Liège
- Vrije Universiteit Brussel (VUB)
- Bio Base Europe Pilot Plant
- Flanders Institute for Biotechnology
- Hasselt University
- Hewlett Packard Enterprise
- VUB Vrije Universiteit Brussel
- jobs.ac.uk
- 5 more »
- « less
-
Field
-
sustainability of mobility systems in suburban areas by designing and developing optimization-based strategies for on-demand services, optimally integrated with innovative charging technologies. We will develop
-
negatively impacting the growth performance by optimizing feed structure (particle size and distribution, and fiber fractions) of pigs and broiler diets. Furthermore, we aim to evaluate Near-Infrared
-
17 Jan 2026 Job Information Organisation/Company KU LEUVEN Research Field Chemistry » Inorganic chemistry Chemistry » Applied chemistry Chemistry » Other Engineering » Materials engineering Engineering » Nuclear engineering Researcher Profile First Stage Researcher (R1) Application Deadline 1...
-
platforms. You will play a key role in administering, programming, and optimizing systems such as the Schools Learning Management System (i.e. Canvas), the Student Information Systems (i.e. Campus Solutions
-
AI-driven network functions). Develop and integrate 6GApp‑like components, including: vertical application logic that reacts to network conditions, network‑application logic (AI‑based optimization
-
‑generation photonic and analog electronic design automation (EDA). You will explore, develop, and validate AI‑assisted methodologies that accelerate the design, optimization, and verification of optical and
-
Operations Research and Operations Management, such as network theory, combinatorial optimization, and econometrics. The project pursues three interrelated aims: first, to characterize how network structure
-
, the Optimized AI team focuses on computing techniques to scale up a wide range of AI approaches and drive the SW-HW-Technology co-optimization. We analyze and implement AI models and software architectures while
-
, for their analysis and optimization, we use tools such as artificial intelligence/machine learning, graph theory and graph-signal processing, and convex/non-convex optimization. Furthermore, our activities
-
to pose increasing risks to public health in Europe. This project aims to develop a new data-driven framework to assess invasion risk and optimize mitigation and surveillance strategies in the EU. The