Sort by
Refine Your Search
-
Listed
-
Employer
- Delft University of Technology (TU Delft)
- Eindhoven University of Technology (TU/e)
- Utrecht University
- University of Amsterdam (UvA)
- Wageningen University & Research
- Leiden University
- University of Groningen
- University of Twente
- University of Twente (UT)
- Vrije Universiteit Amsterdam (VU)
- Erasmus University Rotterdam
- European Space Agency
- Maastricht University (UM)
- Radboud University
- Naturalis
- University Medical Center Utrecht (UMC Utrecht)
- University Medical Centre Groningen (UMCG)
- Erasmus University Rotterdam (EUR)
- Radboud University Medical Center (Radboudumc)
- Royal Netherlands Academy of Arts and Sciences (KNAW)
- Universiteit Leiden
- University of Utrecht
- 12 more »
- « less
-
Field
-
correlation. In this work, we apply equation-of-motion coupled-cluster (EOM-CC) methods to adequately account for electron correlation. Furthermore, for lanthanide systems, we will use a two-step state
-
innovation. Proven experience with qualitative research skills (interviews, case studies, participatory methods) and/or design research skills (e.g., co-design, visualisation, prototyping). Strong written and
-
MSc students affiliated with the project at WUR and the University of Diffa. Participate in capacity-building workshops for local stakeholders — including training in the Eight Question Method (8QM) and
-
-edge machine learning methods with empirical insights from the educational arm of the project. A central technical challenge guides this position: How can an LLM-based AI social agent be designed, fine
-
to collaborate on a large interdisciplinary program to develop methods for deepening awareness and knowledge about ethical, legal, and social aspects (ELSA) of scientific developments? Within our team, you will
-
covert methods such as nudging. As part of the research, concrete evaluation is envisioned through the virtual museum guide developed by the national Hybrid Intelligence Centre (https://www.hybrid
-
Sciences, Dentistry, Epidemiology, Implementation Science, Meta-research, or a related discipline. Demonstrated experience in quantitative research methods and scientific publishing. Experience with
-
/mobility studies, geography, environmental psychology, urban data science, or a related field. Experience with quantitative and qualitative monitoring, evaluation, and data collection and analysis methods in
-
development of innovative research methods within otolaryngology. This project combines clinical relevance, international collaboration, data analysis, and methodological innovation, thereby offering a
-
, evaluation, and data collection and analysis methods in urban or built-environment contexts. Experience with spatial data analysis, GIS, sensor-based mobility data, or behavioral mapping methods. Strong