Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Delft University of Technology (TU Delft)
- Eindhoven University of Technology (TU/e)
- Wageningen University & Research
- Leiden University
- Maastricht University (UM)
- Amsterdam UMC
- Delft University of Technology
- Leiden University Medical Center (LUMC)
- University of Amsterdam (UvA)
- University of Groningen
- University of Twente (UT)
- Vrije Universiteit Amsterdam (VU)
- 2 more »
- « less
-
Field
-
agricultural economics who can translate complex policy challenges into rigorous research programmes, lead multidisciplinary teams, and communicate findings clearly to decision-makers. You bring deep knowledge
-
degree in a STEM field. You love physics and complex systems and are either familiar with, or very eager to learn about, (road) network traffic flow theory and simulation. You are a machine learning
-
project, an interdisciplinary and transdisciplinary research project funded by NWO, the Netherlands Research Council, under the call on KIC Consumer behaviour for a circular system transition. See: https
-
dvelopment of ARG endpoints in late-stage enteric vaccine trials and identify new strategies to reduce AMR and bacterial infections in at-risk LMIC infants. Where to apply Website https
-
PhD students. The MoM section is recognized worldwide for its high-level research on experimental analysis, theoretical understanding and predictive modelling of complex thermo-mechanical behaviour (e.g
-
Project description This project is part of the MSCA Doctoral Networks program e-ChemIn, connecting 10 research institutes and 3 companies across Europe in a joint effort to identify design
-
Technology Institute Groningen (ENTEG). The project aims to address timely challenges in the analysis, design, and operation of complex socio-technical systems, such as energy and transportation networks. What
-
Welcome to Maastricht University! Are you fascinated by how lipids shape cardiovascular health? Step into the world of lipid research with the European doctoral network LipidBRIGHT to uncover how
-
higher degree of complexity in materials, geometries, and length scales. As a result, the design of such systems has become quite a challenge. This becomes even more challenging when considering
-
to translate network theory, intensive longitudinal methods, complexity science, and clinical expertise into more personalized and effective forms of intervention. The PhD position This research project