Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Delft University of Technology (TU Delft)
- Eindhoven University of Technology (TU/e)
- Maastricht University (UM)
- University Medical Center Utrecht (UMC Utrecht)
- University of Amsterdam (UvA)
- Utrecht University
- University of Groningen
- University of Twente (UT)
- Wageningen University & Research
- Amsterdam UMC
- Erasmus MC (University Medical Center Rotterdam)
- Radboud University
- Vrije Universiteit Amsterdam (VU)
- ARCNL
- Elestor BV
- Erasmus University Rotterdam
- Leiden University
- Leiden University Medical Center (LUMC)
- NIOZ Royal Netherlands Institute for Sea Research
- Tilburg University
- University Medical Centre Groningen (UMCG)
- 11 more »
- « less
-
Field
-
Development of a Low-Voltage Multi-Beam SEM for High-Throughput Imaging | TU Delft Job description Scanning Electron Microscopy (SEM) plays a central role in today’s nanoscale imaging across both science and
-
project, you will: Investigate muscle physiology using advanced techniques such as MRI-DTI, ultrasound imaging, muscle stimulation, and electromyography (EMG). Perform anatomical dissections on human
-
adaptive image and schema descriptions for digitized books and collections of the National Library of the Netherlands (KB) for blind and visually impaired readers. Background Around 25% of the Dutch
-
general and the following skills in particular: materials and microstructure characterization, microscopy and metallurgy, (micro-)mechanical testing, in-situ testing and digital image correlation, numerical
-
stem cells or stem cell-based biomaterials? And eager to explore cutting-edge technologies like genome editing and in vivo imaging? Or are you perhaps fascinated by eye research and do you have an
-
cells or stem cell-based biomaterials? And eager to explore cutting-edge technologies like genome editing and in vivo imaging? Or are you perhaps fascinated by eye research and do you have an affinity
-
quality that is not visible in blood or clinical characteristics. By combining the results of AI-driven image analysis of histological samples conducted in this PhD project with biomarker data and outcome
-
. PhD Candidate Neuroimaging in Epilepsy Our goal: to leverage advanced Magnetic Resonance Imaging (MRI) techniques (including functional MRI to assess brain network metrics and MR spectroscopy to measure
-
geometry altogether and operate in hyperbolic space. Our lab has published multiple papers showing that hyperbolic deep learning has strong potential for computer vision, from hyperbolic image segmentation
-
representations. In this project, you will substantially improve quantitative magnetic resonance imaging (MRI) image quality using deep learning approaches. Quantitative MRI allows healthcare providers