Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Groningen
- Wageningen University and Research Center
- Utrecht University
- Leiden University
- Erasmus University Rotterdam
- Radboud University
- CWI
- Delft University of Technology (TU Delft); Delft
- University of Twente
- University of Twente (UT)
- Delft University of Technology (TU Delft)
- Leiden University; Leiden
- Universiteit van Amsterdam
- University of Amsterdam (UvA); Amsterdam
- Delft University of Technology
- Eindhoven University of Technology (TU/e)
- Erasmus MC (University Medical Center Rotterdam)
- KNAW
- University of Amsterdam
- University of Amsterdam (UvA)
- Vrije Universiteit Amsterdam (VU)
- 11 more »
- « less
-
Field
-
training programme is part of the agreement. The indicative starting date is around January 2026. The position will be filled as soon as a qualified candidate has been found, so interested candidates
-
employee benefits, you will receive a fully funded PhD position and you will be offered a course program tailored to your needs and the research team. The gross salary for the first year is € 3.059,- per
-
training programme on Regenerative Agriculture. The requirements to applicants is: You have: Background in soil sciences and agricultural sciences or related field; Experience in process-based modeling
-
University and present your results at (inter)national scientific meetings; participate in the Faculty of Science PhD training program; assist in teaching Bachelor and Master’s students; co-supervise and
-
methodology through an integrated research programme across geoinformatics, AI, and geography. The project is based at the Department of Human Geography and Spatial Planning, Utrecht University, and contributes
-
completion of the PhD thesis within the next three years is to be expected. A university PhD training programme is part of the agreement, and the candidate will be enrolled in the Graduate School of Science
-
robotic systems and AI models. You will learn how to programme advanced robotic systems and how to implement aspects of deep learning and neural networks for chemical property prediction. You will be part
-
tools and programming languages such as R or Python; an interest in working together with people from the food industry; you are an ambitious and highly motivated scientist; you are a creative researcher
-
internationally-oriented, interdisciplinary research of high societal relevance with our research programme TRACE (Transformations, Communities, and Environments). Our motto is: we are making places better
-
: They should verify the candidate's educational qualifications and academic performance. 5. Official proof of English proficiency: See full description of the conditions and exemptions on the programme page 6