Sort by
Refine Your Search
-
Listed
-
Employer
- University of Groningen
- Wageningen University and Research Center
- University of Twente
- Utrecht University
- Leiden University
- Eindhoven University of Technology (TU/e)
- Radboud University
- CWI
- Erasmus University Rotterdam
- Delft University of Technology (TU Delft)
- University of Twente (UT)
- Leiden University; Leiden
- Delft University of Technology (TU Delft); Delft
- Maastricht University (UM)
- University of Amsterdam (UvA)
- University of Amsterdam (UvA); Amsterdam
- KNAW
- University of Groningen; Groningen
- Vrije Universiteit Amsterdam (VU)
- Vrije Universiteit Amsterdam (VU); Amsterdam
- Wageningen University & Research
- Delft University of Technology
- Erasmus MC (University Medical Center Rotterdam)
- Maastricht University (UM); Maastricht
- Radboud University; Nijmegen
- Royal Netherlands Academy of Arts and Sciences (KNAW)
- Universiteit van Amsterdam
- University of Amsterdam
- 18 more »
- « less
-
Field
-
relevant field, such as Food Safety, Data Science, Food Science, Biotechnology; experience in predictive modelling and quantitative microbial risk assessment approaches; experience with relevant software
-
Master’s degree in Data Science, Artificial Intelligence, Computational Linguistics, Computer Science. Has excellent academic writing and oral skills in English. Has experience with large language models
-
the computational imaging group at CWI, where you will have a chance to interact and collaborate with fellow PhD-students and research staff with a background in mathematics, computer science, and imaging science. It
-
development. You will also apply a coastal dune model (AeoLiS) to dunes in the Netherlands and evaluate how well it replicates historical changes. You will share your results in stakeholder meetings, scientific
-
scientific programming (e.g. Python, MATLAB, or R) for data analysis and visualization A clear affinity for insect behavior, sensory ecology, or movement ecology; Fieldwork experience or a strong interest in
-
++ programme “Break-through technologies in flow and fluid composition measurement”. It involves close cooperation with flow sensor companies and the TU Delft, where a post-doc will focus on the electronic
-
PhD in innovative stable isotope measurements of methane and its precursors Faculty: Faculty of Science Department: Department of Physics Hours per week: 36 to 40 Application deadline: 15
-
publish it as your PhD thesis. Your team Your WUR supervisors will be Dr. Paul Smeets and Prof. Dr. Ciarán Forde (Sensory Science and Eating Behaviour chair group). Dr. Davide Risso, external research
-
are committed to conduct independent and original scientific research, to report on this research in international publications and presentations, and to present the results of the research in a PhD
-
interdisciplinary research. In addition, you possess: a completed MSc degree in economics, environmental science, or a related field; a solid foundation in applied quantitative methods (e.g., econometrics, spatial