Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Radboud University
- Wageningen University & Research
- Utrecht University
- HFML-FELIX
- University of Amsterdam (UvA)
- Delft University of Technology (TU Delft)
- Eindhoven University of Technology (TU/e)
- Amsterdam UMC
- Leiden University
- Vrije Universiteit Amsterdam (VU)
- Amsterdam UMC, location VUmc
- 1 more »
- « less
-
Field
-
with other PhD candidates, a postdoctoral researcher, vascular surgeons, ultrasound engineers, and industrial partners including Philips and Catharina Hospital Eindhoven. The project offers a unique
-
on these materials. You will work in a collaborative and interdisciplinary environment, interacting with PhD candidates, postdoctoral researchers, scientific and technical staff, and contributing to joint experimental
-
to develop trusted data-sharing solutions for the heat transition. Within the project, you will have the opportunity to collaborate with other PhD candidates and a postdoctoral researcher working on
-
and a postdoctoral researcher working on complementary topics including decision-making under data-sharing constraints, privacy-preserving data sharing, governance and citizen participation. You will
-
to three dimensions based on Virtual Leaf3D currently under development by a postdoctoral researcher in our team Publication of the results in the scientific literature and writing a PhD thesis. Co-teaching
-
observations. You will work closely with a postdoctoral researcher who will lead the detector measurements and telescope deployment activities. The project is embedded within the Experimental Astronomy group and
-
University). The team will consist of Sander Nieuwenhuis, a postdoctoral researcher, the PhD student and a research assistant. If time permits, the PhD student will get the opportunity to contribute
-
the Department of Rehabilitation Medicine, Amsterdam UMC. Thoroughout the project, you will collaborate with clinicians, clinical researchers, and a postdoctoral researcher based at the Department
-
the ELLIS network of excellence in AI. You will be embedded in a vibrant, international team of PhD students and postdoctoral researchers, with access to substantial GPU compute, real robots and rich
-
). Teaching working groups in the education programmes of the Athena Institute (max 0.2 fte). After the first year, there will also be a postdoctoral researcher who will be working with you on the project. Note