Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- KU LEUVEN
- University of Antwerp
- Vrije Universiteit Brussel
- Ghent University
- Nature Careers
- VIB
- Vrije Universiteit Brussel (VUB)
- Hasselt University
- University of Leuven
- Université de Namur
- IMEC
- Université de Liège
- VUB Vrije Universiteit Brussel
- Bio Base Europe Pilot Plant
- Electronics and Informatics Department
- Giga Institute - University of Liege
- IRIBHM-ULB
- Lafontaine Lab - Université libre de Bruxelles
- UNamur - Lab of F. De Laender
- University of Liège
- Université catholique de Louvain (UCLouvain)
- Université libre de Bruxelles
- 12 more »
- « less
-
Field
-
of laser dynamics. To perform a rigorous benchmark of the most promising strategies with a focus on sensitivity and speed against established techniques to ascertain performance enhancements. Collaboration
-
machine learning (ML) models and optimization algorithms specifically designed for highly dynamic satellite communication (SatCom) systems that can handle networks of varying sizes and configurations
-
situ vibration measurements with advanced numerical simulations. Deep underground structures are strongly influenced by complex dynamic soil–structure interactions. Vibration-based monitoring captures
-
friendly mode of transportation, but noise and vibration remain a major environmental challenge for the railway sector. Therefore, a wide range of numerical models have been developed for the prediction
-
–liquid interfaces through an integrated approach combining atomistic (DFT, AIMD, MD), and continuum (FEM) Modelling, supported by machine learning frameworks. Key responsibilities: • Perform DFT/AIMD
-
diseases (NCDs) in the Brussels Capital Region. Research Context Urban populations are exposed to a complex mixture of environmental stressors, including air pollution, heat, noise, green space, and light
-
populations are exposed to a complex mixture of environmental stressors, including air pollution, heat, noise, green space, and light pollution, that interact with socioeconomic vulnerability and health history
-
environmental stressors, including air pollution, heat, noise, green space, and light pollution, that interact with socioeconomic vulnerability and health history to shape disease risk. Yet most clinical risk
-
a large-scale field campaign across ancient forest stands to reconstruct soil ecosystem carbon budgets and develop dynamic models of complex soil ecosystems based on the literature. The goal is to
-
dynamic, creative, and stimulating work environment at CLEP. You'll work alongside a team of international researchers, emphasizing the integration of clinical practice and scientific inquiry. As a partner