Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Radboud University
- University of Groningen
- Utrecht University
- Delft University of Technology (TU Delft)
- Delft University of Technology (TU Delft); 26 Sep ’25 published
- Eindhoven University of Technology (TU/e); Eindhoven
- Maastricht University (UM)
- Maastricht University (UM); Maastricht
- University Medical Center Utrecht (UMC Utrecht)
- University of Amsterdam (UvA)
- University of Amsterdam (UvA); Published 7 Nov ’25
- Wageningen University and Research Center
- 2 more »
- « less
-
Field
-
for GIS, cartographic maps, geodata infrastructures and geo-analytical workflows; some experience with AI and machine learning methods to label texts (NLP) or data sources; strong programming skills (e.g
-
implement proteomic workflows tailored for highly limited, heterogeneous samples, enabling in-depth profiling of tumour biology. A major component of your work will be to establish intratumoral heterogeneity
-
, enabling in-depth profiling of tumour biology. A major component of your work will be to establish intratumoral heterogeneity maps using spatial proteomic profiling, including the use of laser capture
-
TU/e’s data maturity. You’ll be part of the Data Management team within the Data & Insights Product Area at the Library and Information Services (LIS) department, working alongside a dedicated team of
-
Join an ambitious, multidisciplinary project at the crossroads of interaction and urban design, where your research can shape the vision of open and accessible cities!. This position is part of
-
design, where your research can shape the vision of open and accessible cities!. This position is part of the NWO-funded research project BEAT (Building Equitable Accessibility Together), which will start
-
(based on biomaterials and living cells), including their efficient deployment on embedded hardware, as well as the design and management of the supporting data pipeline. You will be part of
-
Research (NWO), at the Laboratory of Phytopathology of Wageningen University. In this project you will use the advanced TurboID-based, proximity-dependent labelling technique to identify novel resistance
-
optical tissue clearing methods and imaged with 3D microscopy techniques, particularly light-sheet microscopy. The vascular network will be differentiated into arterial, veinous, and capillary components
-
. Perform protein interaction studies to unravel mechanisms by which viruses induce morphological changes in host cells. Use sequence specific fluorescent labeling to follow virus infection in a time resolved