Sort by
Refine Your Search
-
Listed
-
Employer
- Leiden University
- University Medical Center Utrecht (UMC Utrecht)
- University of Amsterdam (UvA)
- Wageningen University & Research
- Eindhoven University of Technology (TU/e)
- Radboud University Medical Center (Radboudumc)
- Tilburg University
- University Medical Centre Groningen (UMCG)
- University of Twente (UT)
-
Field
-
scale, undirected Brownian motion dominates in state-of-the-art membranes. 2D membranes have the potential to overcome this intrinsic deficiency and shift the paradigm of particle transport from
-
performance; Perform and Analyse Particle Image Velocimetry data in shear controlled continuous experiments; Developing guidelines for controlling negative effects of SACs in anaerobic wastewater treatment
-
rehabilitation center, and will be embedded in the Vision and Imaging Data Analytics group at the Department of Intelligent Systems and Centre for Cognitive Science and Artificial Intelligence at Tilburg
-
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
-
rapidly evolving retrieval paradigm where generative models are used to directly generate document identifiers given a user query. This paradigm departs from traditional multi-stage retrieval pipelines and
-
the risk of disease outbreaks, yet the scientific literature paints a conflicting picture. This projects aims to reveal the ‘why?’ behind the variation in diversity-disease relationships. What mechanisms
-
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
-
interactive component. The position is with Prof. dr. Cees Snoek, Professor, head of the Video & Image Sense lab (VIS lab), at the University of Amsterdam. VIS lab is a world-leading lab on Computer Vision and
-
will work on scene understanding using RGB and possibly thermal and radar images, including based on object detection and image segmentation, and collaborate effectively with other technical partners who
-
a quantitative understanding of the interactions between the nanomedicine and cellular membranes. The PhD position will work under supervision of Prof. Daniela Kraft, whose group is embedded in