Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Groningen
- Delft University of Technology (TU Delft); Delft
- Eindhoven University of Technology (TU/e)
- Delft University of Technology (TU Delft)
- University of Twente
- CWI
- Erasmus MC (University Medical Center Rotterdam)
- Erasmus MC (University Medical Center Rotterdam); Rotterdam
- KNAW
- Radboud University
- University of Twente (UT); Enschede
- Utrecht University
- Eindhoven University of Technology (TU/e); Eindhoven
- Maastricht University (UM); Maastricht
- Radboud University Medical Center (Radboudumc)
- Radboud University Medical Center (Radboudumc); Nijmegen
- University of Amsterdam (UvA)
- University of Amsterdam (UvA); Amsterdam
- University of Groningen; Groningen
- University of Twente (UT)
- Vrije Universiteit Amsterdam (VU)
- Wageningen University & Research
- Wageningen University and Research Center
- 13 more »
- « less
-
Field
-
lengthy processing times associated with sequencing. This PhD project aims to develop innovative artificial intelligence (AI) methodologies by integrating histopathology images and RNA sequencing data
-
. Advertising images can also link products to ideas of success. Thus, these forms of communication are not merely tools for conveying messages, but powerful agents that sculpt our society, influence our
-
? No Offer Description This position is part of the NWO KIC Smart Materials project, Smart Materials for Information Processing, in collaboration with the NanoElectronics (NE) group at the University
-
infrastructure managers in developing cross-sectoral strategies to proactively shape infrastructure demand, as an alternative to the traditional and increasingly untenable 'predict-and-provide' paradigm. By
-
, building on many earlier projects revolving around the use of UAV/drones, computer vision and machine learning, change and damage detection, and multi-data integration, such as of UAV-based radar data, which
-
our research team in the field of mixed-signal IC design, focusing on the implementation of sense to compute paradigm. The ideal candidate will have a strong background in circuit design and experience
-
8 Sep 2025 Job Information Organisation/Company Eindhoven University of Technology (TU/e) Research Field Computer science » Computer hardware Computer science » Digital systems Engineering
-
important question to solve, as DNA damage-stalled RNA polymerase causes bigger problems for the cells than the actual DNA damage itself. In this project we will use innovative single molecule imaging
-
Unravel the complexity of valve disease in heart failure using Digital Twin technology. Help transform how cardiologists decide when and how to treat patients through personalized computer
-
for medical imaging, tailored for deep learning. The high-level goal of the project is simple: to use anatomical knowledge and existing knowledge as training data for deep neural networks (instead of manual