Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Delft University of Technology (TU Delft)
- Eindhoven University of Technology (TU/e)
- University of Groningen
- Erasmus MC (University Medical Center Rotterdam)
- University of Amsterdam (UvA)
- University of Twente (UT)
- Maastricht University (UM)
- Wageningen University & Research
- Amsterdam UMC
- Leiden University
- University Medical Center Utrecht (UMC Utrecht)
- Utrecht University
- Vrije Universiteit Amsterdam (VU)
- ARCNL
- CWI
- Elestor BV
- Leiden University Medical Center (LUMC)
- Radboud University
- Radboud University Medical Center (Radboudumc)
- Tilburg University
- University Medical Centre Groningen (UMCG)
- University of Amsterdam (UvA); Amsterdam
- 12 more »
- « less
-
Field
-
Comprehensive Approach to Justification, Optimisation, and Education”), a European Union-funded research project aimed at improving the quality and radiation safety of medical imaging in children, adolescents
-
GenAI for reproducing, modularizing and FAIR publication of existing research. The reproducibility of scientific findings often depends on access to workflows and code used in original analyses. However
-
representations. In this project, you will substantially improve quantitative magnetic resonance imaging (MRI) image quality using deep learning approaches. Quantitative MRI allows healthcare providers
-
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
-
how intrinsic plasticity contributes to memory encoding and alters cognitive processes. In this project, we will leverage the advanced voltage imaging in larval zebrafish to investigate how intrinsic
-
that has been generated in a prior laboratory-setting project. Specifically, we will integrate recent advances in artificial intelligence-based automated interpretation of medical images, and new knowledge
-
of brain imaging and contribute to insights that can improve healthcare practice. Technical PhD Candidate In this role, you will be responsible for developing and refining MRI technologies to visualize brain
-
you want to unravel the crystallization of phase change materials in heat storage devices? Do you like to work with advanced imaging techniques like CT and MRI? Do you want to understand the relation
-
candidate you will: Collaborate closely with the experimental team that acquires these multiscale data Analyse rat MRI data, including integration with histology and calcium imaging Combine data across
-
holders, setting requirements on data quality and measurement conditions. Together with cardiologists, supervisors and colleague PhD students, you will further perform human testing of several prototype