Sort by
Refine Your Search
-
Listed
-
Employer
- University of Amsterdam (UvA)
- Tilburg University
- Leiden University; Published today
- Radboud University Medical Center (Radboudumc)
- University of Amsterdam (UvA); Published today
- University of Amsterdam (UvA); Published yesterday
- Delft University of Technology (TU Delft)
- Delft University of Technology (TU Delft); Published 11 Nov ’25
- Eindhoven University of Technology (TU/e)
- European Space Agency
- Leiden University
- The Netherlands Cancer Institute
- University of Amsterdam (UvA); Published 22 Nov ’25
- University of Twente
- University of Twente (UT)
- University of Twente (UT); Published today
- Utrecht University
- Wageningen University & Research
- 8 more »
- « less
-
Field
-
Mathematics » Statistics Researcher Profile Recognised Researcher (R2) Application Deadline 28 Feb 2026 - 22:59 (UTC) Country Netherlands Type of Contract Temporary Job Status Not Applicable Hours Per Week 38.0
-
of data scientists, data engineers, software developers and many more, that are focused on bringing data, machine learning and statistical modeling into the products that we build for our clients
-
interventions. Flexible hybrid working is possible: data analysis and statistical work can be done remotely, with regular on-site meetings for team collaboration and integration with clinical and imaging experts
-
2-year fellowship No teaching requirement Post-doctoral research based at Tilburg University with authorized access to world-class Statistics Netherlands (CBS) microdata Conduct research in
-
planned studies. This includes protocol development, data management, statistical analysis, and dissemination of findings through conferences and scientific articles. This role offers a unique opportunity
-
happens in source areas is also essential for interpreting developments in nature reserves. You will be responsible for: statistical evaluation of air-quality monitoring network designs, including
-
Do you enjoy using statistical approaches to study biological problems? Are you interested in developing and applying computational methodologies to investigate plant-microbiome-interactions? We
-
of root-microbe interactions in forming stable soil organic matter in different soil types and under future climate scenarios using a range of different approaches, and in collaboration with Statistics
-
types and under future climate scenarios using a range of different approaches, and in collaboration with Statistics Netherlands (CBS), Eurofins, Amsterdam Green Campus, and Lawrence Livermore National
-
developers and many more, that are focused on bringing data, machine learning and statistical modeling into the products that we build for our clients or internal users. The data scientists in INGA furthermore