Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Delft University of Technology (TU Delft)
- Eindhoven University of Technology (TU/e)
- University Medical Center Utrecht (UMC Utrecht)
- University of Twente (UT)
- Maastricht University (UM)
- Radboud University
- Tilburg University
- Wageningen University & Research
- Erasmus MC (University Medical Center Rotterdam)
- Leiden University
- NIOZ Royal Netherlands Institute for Sea Research
- University of Amsterdam (UvA)
- Amsterdam UMC
- Princess Máxima Center for Pediatric Oncology
- Radboud University Medical Center (Radboudumc)
- University Medical Centre Groningen (UMCG)
- Utrecht University
- Vrije Universiteit Amsterdam (VU)
- 8 more »
- « less
-
Field
-
(University College Dublin) and Prof. Leo de Vreede (TU Delft). This position directly connects to DISRUPT’s planned work on efficient ML-based DPD, accelerator architecture, silicon tape-out, and prototype
-
cancer prevention and improved survivorship. The project advances a paradigm shift: transport is no longer a source of negative impacts – such as safety issues and adverse health effects, but rather a
-
imaging, and organoid models. The main objectives of the project are to determine the specific types of DNA damage induced by mechanical alterations, to characterise the resulting transcription‑stress
-
into clinically relevant hypotheses and protocols. You analyze clinical, physiological, and imaging datasets with rigor and reproducibility. You publish your results in peer-reviewed journals, present
-
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
-
, actuation, and control. The research includes the design, fabrication, and experimental validation of micro-scale robotic platforms, integration of optical and imaging-based feedback, and development
-
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
-
neuroanatomy, neuroscience or a related field, and enjoy analysing neuroimaging data, scripting and data analysis? And are you passionate about medical imaging and its potential to improve our understanding
-
, 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
-
, 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