Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Delft University of Technology (TU Delft)
- Eindhoven University of Technology (TU/e)
- Royal Netherlands Academy of Arts and Sciences (KNAW)
- Leiden University
- Tilburg University
- University of Groningen
- Utrecht University
- Wageningen University & Research
- Erasmus MC (University Medical Center Rotterdam)
- Radboud University
- University of Amsterdam (UvA)
- 1 more »
- « less
-
Field
-
stimuli (ranging from quiet, empty settings to highly crowded, noisy environments) influence user decision making and motor behavior, and how repeated exposure can modulate these processes over time. You
-
and product improvement, materials, processes and (mechanical) systems. ME is a dynamic and innovative faculty with high-tech lab facilities and international reach. It’s a large faculty but also
-
strategic process. It focuses on the alignment between enterprise-level decision-making and project-level implementation, including tensions between standardisation and flexibility, enterprise integration and
-
modelling, materials processing, and device fabrication. The project is embedded in the national SolarNL initiative and includes collaborations with leading Dutch research institutes and industrial partners
-
procedure. Diversity & Inclusion The KNAW considers a working environment in which everyone feels welcome and appreciated of great importance. A working environment in which attention is paid to individual
-
managing the entire application process. Additional Information Benefits You will receive a temporary position for 4 years. The gross monthly salary amounts a minimum of € 3217 and a maximum of € 4220
-
photothermal approaches and design novel organic photocatalysts tailored to these processes. The development of these photocatalysts will be supported by theoretical modelling and AI-based tools in close
-
investing in your personal and professional development. For more information, please visit Working at Utrecht University . Selection process As Utrecht University, we want to be a home for everyone. We
-
processes collect, analyze, and interpret qualitative data from local and cross-site activities help translate fieldwork findings into community-accountable concept development and knowledge infrastructure
-
data analysis techniques, including synchronisation, correlation analysis, feature extraction, and signal processing, will be employed to identify indicators of track and bridge condition. In parallel