Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Delft University of Technology (TU Delft)
- University of Twente (UT)
- University of Amsterdam (UvA)
- Eindhoven University of Technology (TU/e)
- Leiden University
- Wageningen University & Research
- Erasmus MC (University Medical Center Rotterdam)
- University Medical Center Utrecht (UMC Utrecht)
- University of Twente
- Vrije Universiteit Amsterdam (VU)
- Amsterdam UMC
- Erasmus University Rotterdam
- HFML-FELIX
- Maastricht University (UM)
- NIOZ Royal Netherlands Institute for Sea Research
- Radboud University
- 6 more »
- « less
-
Field
-
are a revolutionary paradigm for autonomous driving, enabling systems to jointly perceive, reason, and act in complex environments. However, evaluating such end-to-end models remains challenging, as most
-
, proteomics approaches, as well as immunohistochemistry, fluorescent in situ hybridization (FISH), and confocal imaging. Furthermore, you will use state-of-the-art in vivo noncanonical amino acid tagging (NCAT
-
, hybrid) to understand trade-offs in coordination, transport, and reuse performance under different scenarios. Develop a digital warehouse management system for reuse hubs: design and prototype a hub
-
of observed storm and heat wave cases, you’ll compare prescribed surface runs with coupled configurations using FLake and advanced parameterizations. You will then extend your work to regional ICON experiments
-
, and carbon–nitrogen allocation using advanced tools such as single-cell transcriptomics, root imaging, isotope tracing, gas-exchange, and leaf spectroscopy. The projects aim to uncover physiological
-
, field). You are eager to learn new techniques, whether in plant physiology, genomics, or high-throughput phenotyping, and you enjoy connecting detailed trait measurements to the bigger picture of crop
-
microenvironment in these foraminifera. Novel techniques including high-pressure freezing and fluorescent/ cry-FIB SEM imaging will be applied and will complement experiments at the NIOZ. Handling living
-
. Research Focus The projects aim to develop advanced computational methods for analyzing large-scale, multimodal biomedical data—including single-cell and spatial omics, imaging, and clinical datasets. Key
-
, building an industry prototype of an optical clock , building a continuously operating atom laser, or improving the way in which optics is built . Our group has furthermore quantum simulation experiments