Sort by
Refine Your Search
-
Listed
-
Employer
- Utrecht University
- Eindhoven University of Technology (TU/e)
- Erasmus University Rotterdam
- Delft University of Technology (TU Delft)
- Maastricht University (UM)
- University of Amsterdam (UvA)
- Radboud University
- AMOLF
- KNAW
- Leiden University
- Radboud University Medical Center (Radboudumc)
- University of Groningen
- University of Twente
- Vrije Universiteit Amsterdam (VU)
- Wageningen University & Research
- Wetsus - European centre of excellence for sustainable water technology
- 6 more »
- « less
-
Field
-
funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you interested in evolution, statistical physics, and infectious disease dynamics
-
independently and enthusiastic about working in a dynamic, interdisciplinary, and international context. Motivated to develop your teaching skills and coach students. Fluent in spoken and written English (C1
-
to timely respond and acclimate to a dynamic and challenging environment. When encountering stressful conditions, plants have the capability to undergo a complete transcriptional reprogramming to adjust
-
have responded to a wide range of crises since 1800, including pandemics, natural disasters, and terrorist attacks. You will focus explicitly on diachronic research, analysing patterns of continuity and
-
Curiosity, resilience, and a strong drive to learn and innovate This position offers a dynamic and supportive research environment with ample opportunities for professional and academic development
-
University also offers a range of its own schemes for employees. This includes arrangements for professional development , various types of leave, and options for sports and cultural activities . You can also
-
skills. Fluent in English (C1 level). Additional Information Benefits A meaningful job in a dynamic and ambitious university, in an interdisciplinary setting and within an international network. You will
-
framework on existing near-real-time and sub-annual EO monitoring products. The outcomes will improve the reliability, transparency, and comparability of near-real-time monitoring systems across a wide range
-
to elucidate these phenomena. This PhD project aims to develop a computational growth and remodeling (G&R) framework to investigate how cartilage microtissue growth dynamics, matrix composition, and (anisotropic
-
, citizen engagement, and ethical AI. In this project, you will conduct original research within the thematic scope of your work package, by: Developing adaptive learning systems, in the context of sequential