Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
these with quantitative and qualitative research methods to promote a regenerative food system in the Netherlands? If you have a PhD degree and a skill set that puts you in a good position to carry out
-
modelling. experience with computational methods in social sciences. experience with spatial and regional data. experience with handling large datasets. experience with the use of social survey microdata
-
PhD candidates, and serves about 1,100 students. We are a cohesive Faculty committed to internationally-oriented, interdisciplinary research of high societal relevance with our new research programme
-
working methods. It interacts externally almost exclusively with academia and operates as a truly interdisciplinary team bound to high scientific standards. Through its research, the team acts as a
-
this postdoc with the conditions and support to advance in their academic and/or professional career. This research is funded by the EU as part of the Horizon Europe programme. Resources are secured
-
field (including but not limited to Philosophy, Media Studies, Iranian Studies, and Secular Studies); have experience in qualitative research methods, in particular digital media studies and analysis
-
aerospace industry, operating in a truly multidisciplinary fashion and fostering research on innovative systems, design concepts, lean development approaches (e.g. AGILE), and working methods. Through its
-
science communication – and you will be able to contribute to supervision. There is a significant degree of freedom in terms of research questions and methods, but in general we are interested in
-
before, during, and after mobility? Through a mixed-methods case study, you will contribute to a deeper understanding of the ‘class-migration nexus’ — a crucial but often overlooked dimension of migration
-
relevant discipline (e.g., data science, computer science, engineering science, artificial intelligence, or health science/psychology with specialization or additional training in data science); Demonstrable