Sort by
Refine Your Search
-
Employer
- Delft University of Technology (TU Delft)
- University of Amsterdam (UvA)
- Wageningen University & Research
- Utrecht University
- Eindhoven University of Technology (TU/e)
- Leiden University
- Royal Netherlands Academy of Arts and Sciences (KNAW)
- ARCNL
- Naturalis
- Sanquin Blood Supply Foundation (Sanquin)
- HFML-FELIX
- University of Groningen
- 2 more »
- « less
-
Field
-
, IEEE IV and RadarConf. For your research, you will have access to extensive computing resources at TU Delft, ranging from personal workstations and shared GPU servers to the Delft AI Cluster and the
-
shared GPU servers to the Delft AI Cluster and the DelftBlue supercomputer. Your supervisors will be Prof. Dariu Gavrila and Dr. Julian Kooij. Job requirements We are looking for a candidate with: An MSc
-
by a more experienced theoretical postdoc. In the second phase of the project, work will move towards current-driven dynamics of the nanosized textures, the exploration of topological excitations, and
-
combines microfluidics, bubble physics, and ultrasound signal processing to bring nanobubble imaging closer to clinical use. You will collaborate closely with a fellow PhD candidate, a postdoc, and a
-
the project team with a Postdoc and the Project Leader. The daily supervisor of the PhD-project is Pepijn Corduwener, the Project Leader; co-promotors are Professor Liesbeth van de Grift (International History
-
the center, as well as regular seminars, joint group meetings, and interaction with other PhD students and postdocs in a lively and supportive environment. The PhD project is embedded within the European
-
(Dairy and Ecology: co-innovating business operations for nature), primarily funded by the Dutch Research Council (NWO). The project embraces four fully-funded PhD candidates and a postdoc. It is a
-
(EO) data can be used to assess different facets of ecosystem functioning in grasslands and forests. Within the project, you will collaborate closely with other PhDs and postdocs to collect field data
-
different scientific backgrounds. Strong initiative and passion for science. Open to collaborate with students (BSc/MSc), PhDs and postdocs involved in related project and research groups within and outside
-
be supervised by Carla Groenland. You will have the opportunity to collaborate with postdocs, PhD candidates, and other faculty members of the research group in Discrete Mathematics and Optimization