Sort by
Refine Your Search
-
Employer
- Delft University of Technology (TU Delft)
- Utrecht University
- University of Amsterdam (UvA)
- Eindhoven University of Technology (TU/e)
- University of Groningen
- ARCNL
- Leiden University
- Radboud University
- Radboud University Medical Center (Radboudumc)
- Tilburg University
- University Medical Centre Groningen (UMCG)
- University of Twente
- University of Twente (UT)
- 3 more »
- « less
-
Field
-
the integration of autonomous vessels into maritime transport and port logistics. The research will use data from vessels, sensors, environments and traffics to analyse the operational and nautical
-
a vibrant and collaborative research environment within the Industrial Microbiology section of the Department of Biotechnology at TU Delft. The section brings together six principal investigators and
-
the pragmatism that is needed to move a project forward. By the time the position starts, you have obtained a PhD degree in Data Sciences, Computer Sciences, Physics, Earth Sciences, Civil Engineering, or a
-
qualities We are searching for a candidate with the following qualifications: Fluency in Dutch and English; A PhD degree in social and environmental policy sciences or related disciplines; Expertise and
-
department (GRS) working closely with PhD researchers, postdocs, and professors in an open and collaborative environment, where you will receive full support and training to grow in your career. This project
-
close collaboration with researchers from Urbanism, and Materials and Environment (Civil Engineering and Geo Sciences) at TU Delft, and with researchers from TU Eindhoven (Human Technology Interaction
-
smarter recovery? Are you motivated to combine claims data, experiments and risk modelling to contribute to a more resilient built environment in the Netherlands? Are you our new colleague? We are looking
-
on research activities already underway in our Materials & Environment section, building up on existing numerical models providing a foundation from which you can build on and contribute your own expertise
-
into practical design principles for low-debris surfaces and operating windows in advanced EUV source environments. Qualifications You have (or will soon obtain) a PhD in (Applied) Physics, Mechanical Engineering
-
requirements For this postdoctoral role, we are looking for someone with a demonstrated background in SAR processing, SAR applications in agriculture and machine learning: A PhD in Earth Observation, Geodesy