Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Groningen
- Wageningen University and Research Center
- Utrecht University
- Erasmus University Rotterdam
- Delft University of Technology (TU Delft)
- KNAW
- Leiden University
- Radboud University
- University of Twente
- Wageningen University & Research
- ; Max Planck Institute for Psycholinguistics
- CWI
- Eindhoven University of Technology (TU/e)
- Universiteit van Amsterdam
- 4 more »
- « less
-
Field
-
Apply now The Mathematical Institute (MI) of Leiden University and the Leiden Institute of Advanced Computer Science (LIACS) are looking for a PhD Candidate in Random Graphs and Complex Networks
-
position in AI for Network Analysis, starting as early as September 1, 2025. We are looking for a motivated and talented early-career researcher with a strong interest in social network analysis, complex
-
, complex networks, statistics, systems theory, computational science, and artificial intelligence with applications in health care, energy systems, traffic, and imaging. Please click the following links
-
outcomes in the Netherlands and beyond. This data-driven project will use real-world data to examine how centralization affects equity in access, treatment patterns, and the integration of complex
-
PhD Position in Causal Agent-based Modelling of Complex Social Systems Faculty: Faculty of Science Department: Department of Information and Computing Sciences Hours per week: 36 to 40
-
trajectories between the United Kingdom and India. The candidate will be part of the ERC-funded project ‘Retirement across countries: A tripartite analysis of the welfare state, family care networks, and the
-
between the Netherlands and Turkey. The candidate will be part of the ERC-funded project ‘Retirement across countries: A tripartite analysis of the welfare state, family care networks, and the retirement
-
approaches. Current food product development struggles to handle the complexity of new, sustainable ingredients. This project will address that challenge by developing automated high-throughput methods
-
complex urban settings. Together with researchers from the fields of energy modelling, social network analysis and governance, you will develop new spatial energy concepts to integrate the social
-
breeding and cultivation methods. Thus, we try to speed up the breeding of complex resilience traits for several crops in different growing systems. This collaborative effort involves four universities and