Sort by
Refine Your Search
-
Listed
-
Program
-
Employer
- Wageningen University & Research
- University of Amsterdam (UvA)
- Leiden University
- Delft University of Technology (TU Delft)
- Utrecht University
- Eindhoven University of Technology (TU/e)
- Erasmus University Rotterdam
- University of Twente
- University of Twente (UT)
- Amsterdam UMC
- European Space Agency
- Maastricht University (UM)
- Max Planck Institute for Psycholinguistics
- Radboud University
- Radboud University Medical Center (Radboudumc)
- Vrije Universiteit Amsterdam (VU)
- 6 more »
- « less
-
Field
-
on large meteorological datasets (from sources such as MSWEP, ERA5 and KNMI) that build on experimental measurements. As a postdoctoral researcher in this project you will: - Develop simulation
-
21 Mar 2026 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Engineering » Civil engineering Researcher Profile Recognised Researcher (R2) Application
-
-products of digestion and fermentation (e.g. soluble and insoluble fibers, lipids, carbohydrates, etc. with HPLC, UPLC, LC-MS/MS, among others). experience in processing and handling large data set and
-
for Manure Policy Effects (LMM), which uses a large panel dataset of agricultural holdings. These data are used for data analysis, econometric analyses, and model‑based simulations and optimisation at the farm
-
5 Apr 2026 Job Information Organisation/Company Wageningen University & Research Research Field Medical sciences Researcher Profile Recognised Researcher (R2) Application Deadline 27 Apr 2026 - 21
-
technologies, and large-scale data infrastructures are transforming social practices, roles, institutions, and the frameworks through which people interpret and evaluate moral life. Existing ethical approaches
-
5 Apr 2026 Job Information Organisation/Company Wageningen University & Research Research Field Biological sciences » Laboratory animal science Researcher Profile Recognised Researcher (R2
-
and/or social policy evaluation, and can: Carry out independent empirical research at a high academic level, from data cleaning to publication-ready analysis. Work effectively with large, complex
-
. Rather than focusing on a single narrow research task, you will -together- play a central role in shaping the direction, collaborations, and outputs of a large, interdisciplinary research programme, taking
-
R or Python). Good-to-have: You have experience working with large-scale text or visual data, or datasets related to history or culture. You tackle complex data challenges with curiosity and are