Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Groningen
- Leiden University
- Utrecht University
- Wageningen University and Research Center
- Radboud University
- Erasmus University Rotterdam
- Leiden University; Leiden
- Vrije Universiteit Amsterdam (VU)
- Wageningen University & Research
- Eindhoven University of Technology (TU/e)
- KNAW
- Royal Netherlands Academy of Arts and Sciences (KNAW)
- Wageningen University & Research; Wageningen
- 3 more »
- « less
-
Field
-
SPINES project. The SPINES project is a collaboration between Radboud University, the University of Twente, University of Groningen, Utrecht University of Applied Sciences, the main infrastructure
-
of Economics and Business The Faculty of Economics and Business offers an inspiring study and working environment for students and employees. International accreditation enables the Faculty to assess performance
-
, European and domestic laws regulating technology, trade, industry, investment, money, and more generally markets. The focus is on how to make the law in any form socially, environmentally and financially
-
Sustainable Development. The Department of Earth Sciences conducts teaching and research across the full range of the solid Earth and environmental Earth sciences, with activities in almost all areas
-
: 30 August 2025 Apply now The Department of Earth Sciences is looking for a highly motivated PhD candidate with an MSc background in Earth, Environmental or another relevant field. You will work on the
-
background, interests, and experience make you a good fit. Whether your strengths lie in environmental or social psychology, communication science or any other discipline related to behavior change—we’re
-
independently and with a team. You hold a Master's degree in Earth Sciences, Environmental Science, Marine Sciences or a related discipline by the time the position starts. Furthermore, you have: experience
-
equivalent) in Computer Science, Data Science, Artificial Intelligence, Computational Social Science, or a closely related discipline. The ideal candidate has a strong interest in algorithms, machine learning
-
) Proven affinity with the application of statistical methods for data analysis of spatial and temporal datasets in the domain of agronomy, ecology and environmental sciences Proven affinity with modeling
-
to data analysis and science communication. PhD students at BirdEyes will gain expertise in cutting-edge ecological monitoring techniques, big data analysis, and creative science communication. The centre