Sort by
Refine Your Search
-
Listed
-
Employer
- Royal Netherlands Academy of Arts and Sciences (KNAW)
- Maastricht University (UM)
- Radboud University
- University of Groningen
- Utrecht University
- Delft University of Technology (TU Delft); yesterday published
- Leiden University; Leiden
- Maastricht University (UM); Maastricht
- Maastricht University (UM); yesterday published
- Universiteit van Amsterdam
- University of Amsterdam (UvA); Amsterdam
- University of Groningen; Groningen
- 2 more »
- « less
-
Field
-
Offer Description Project description Climate change is exerting strong selection on wild populations, with many species showing shifts in the seasonal timing of development. One particularly vulnerable
-
of internet users? Do you want to conduct research with real societal impact while advancing open science? If so, come and join our collaborative research environment at the intersection of web security
-
and join our collaborative research environment at the intersection of web security, privacy and open science. The Digital Security group at Radboud University’s Institute for Computing Sciences is
-
are embedded in existing power relations and power interplay and contribute to the development of transdisciplinary concepts and grassroots ontological frameworks in climate governance research. What will you do
-
processes of knowledge (re)production are embedded in existing power relations and power interplay and contribute to the development of transdisciplinary concepts and grassroots ontological frameworks in
-
are embedded in existing power relations and power interplay and contribute to the development of transdisciplinary concepts and grassroots ontological frameworks in climate governance research. What will you do
-
to the development of transdisciplinary concepts and grassroots ontological frameworks in climate governance research. What will you do? Within the research project, you will work on your PhD research. You will
-
week, it is possible to increase the number of days off from 29 to 41 days a year (with full-time employment). For a complete overview of the terms of employment, please refer to the web page: werken bij
-
to protect AI models against data leakage during inter-departmental information sharing. With the National Police heavily relying on sensitive data exchanges, this research will develop secure machine learning
-
, workshops, and collaborative writing projects. The tasks include: Developing a research plan, taking into consideration ethics and data management procedures of the Faculty; Literature review of published