Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Delft University of Technology (TU Delft)
- Eindhoven University of Technology (TU/e)
- University of Groningen
- University of Amsterdam (UvA)
- University of Twente (UT)
- Wageningen University & Research
- Erasmus MC (University Medical Center Rotterdam)
- Leiden University
- Maastricht University (UM)
- Utrecht University
- ARCNL
- CWI
- Elestor BV
- Leiden University Medical Center (LUMC)
- Radboud University
- Radboud University Medical Center (Radboudumc)
- University Medical Center Utrecht (UMC Utrecht)
- University Medical Centre Groningen (UMCG)
- University of Amsterdam (UvA); Amsterdam
- Vrije Universiteit Amsterdam (VU)
- 10 more »
- « less
-
Field
-
maintain robustness through evolution using live-cell imaging and multiscale modelling. Job description Cells are often described as intricate machines where proteins work together in a tightly coordinated
-
, including trans-differentiation of fibroblasts into neurons (iNeurons), development and screening of antisense oligonucleotides (AONs), live-cell imaging, and transcriptomic analyses. Laboratory work will
-
engagement, reciprocal interaction, and improve the quality of life of this particular group of children and their parents. As part of this project, you will design, prototype, and test interaction concepts
-
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
-
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
-
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
-
knowledge or hands-on experience with Python, ImageJ, and/or MATLAB is highly beneficial for image processing and data analysis. Communication: Excellent written and spoken communication skills in English are
-
synthesizing detectable targeting ligands for engineered immune cells and image and quantify the target cell engagement and efficiency. The project is highly multidisciplinary and involves aspects of synthetic
-
through a self-learning chip prototype, improving performance and durability in automotive applications. Specifically, this PhD project focuses on memristive materials as electronic realizations
-
of the identified structures via stereolithographic, 3D printing and textile techniques like tufting, machine-based embroidery techniques or non-interlaced 3D pre-forming. Development of advanced imaging and