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)
- Vrije Universiteit Amsterdam (VU)
- Amsterdam UMC
- HFML-FELIX
- Maastricht University (UM)
- NIOZ Royal Netherlands Institute for Sea Research
- Radboud University
- 4 more »
- « less
-
Field
-
funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description As a PhD student, you will be embedded in the research group Computational Imaging and
-
, Biomaterials, Biomechanics, Tissue Engineering, Computational Biology, Biomedical Imaging and Modelling, with 800+ students and 200+ academic staff. Eindhoven University of Technology is an open and inclusive
-
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
-
, 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
-
force behind the design, construction, and experimental validation of a next-generation magnetocaloric heat pump prototype, a technology poised to revolutionize the market and contribute significantly
-
for system and circuit simulation, apply modern analog/RF design methodologies, and participate in measurement and characterization of prototype chips. The project encourages creative thinking and
-
transcription-coupled and other nucleotide excision repair–related DNA repair mechanisms (https://lanslab.eu/publications/ ). This project builds on our previous findings that persistent DNA repair intermediates
-
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