Sort by
Refine Your Search
-
Category
-
Employer
- Utrecht University
- University of Groningen
- Amsterdam UMC
- Delft University of Technology (TU Delft)
- Eindhoven University of Technology (TU/e)
- University of Amsterdam (UvA)
- University of Twente (UT)
- Amsterdam UMC; 27 Sep ’25 published
- Amsterdam UMC; today published
- Delft University of Technology (TU Delft); Published 11 Nov ’25
- Delft University of Technology (TU Delft); yesterday published
- Eindhoven University of Technology (TU/e); Published 7 Nov ’25
- Erasmus MC (University Medical Center Rotterdam)
- KNAW
- Leiden University Medical Center (LUMC)
- Leiden University Medical Center (LUMC); yesterday published
- Maastricht University (UM)
- Maastricht University (UM); 26 Sep ’25 published
- Maastricht University (UM); Published today
- Radboud University
- University of Amsterdam (UvA); 26 Sep ’25 published
- University of Amsterdam (UvA); Published yesterday
- University of Amsterdam (UvA); yesterday published
- University of Groningen; Groningen
- University of Twente (UT); Enschede
- University of Twente (UT); today published
- Vrije Universiteit Amsterdam (VU)
- Wageningen University & Research
- 18 more »
- « less
-
Field
-
into molecular bonds. Job requirements Essential job requirements: Strong research record on battery modelling research. Completed a PhD degree in a highly quantitative and analytical discipline (electrical
-
perovskites — for applications in sustainable energy, spintronics, and quantum technologies. By combining physics-based theory with data-driven models, you will contribute to the next generation of predictive
-
experience with animal research, X-ray based imaging and molecular biology research is required. Having obtained FELASA (working with animals) and TMS-VRS D (working with radiation) accreditation is a must
-
are looking for a positive-minded scientist with a PhD, fluent in English – both in writing and speaking. Proven experience with animal research, X-ray based imaging and molecular biology research is required
-
wide range of resources and is mostly not publicly available. While sharing proprietary data to train machine learning models is not an option, training models on multiple distributed data sources
-
living cells. Identify regulatory RNA switches involved in cell fate determination using both cancer cell lines and embryonic stem cell models of cell differentiation. Design and screen therapeutics
-
, medical imaging, pathology, molecular biology, and biostatistics. The resulting international biobank of precisely characterised tumour samples provides the basis for countless research projects and opens
-
on software and other IT products. We also offer access to additional employee benefits through our Terms of Employment Options Model. In this way, we encourage our employees to continue to invest in