Sort by
Refine Your Search
-
Listed
-
Employer
- Delft University of Technology (TU Delft)
- University of Amsterdam (UvA)
- Wageningen University & Research
- Leiden University
- University of Twente
- Radboud University
- Eindhoven University of Technology (TU/e)
- Utrecht University
- Erasmus University Rotterdam
- European Space Agency
- Maastricht University (UM)
- AMOLF
- Tilburg University
- ARCNL
- Erasmus University Rotterdam (EUR)
- NIOZ Royal Netherlands Institute for Sea Research
- Royal Netherlands Academy of Arts and Sciences (KNAW)
- University Medical Center Utrecht (UMC Utrecht)
- University of Twente (UT)
- 9 more »
- « less
-
Field
-
for publication in academic journals; Work on industry papers targeted at specialists of the pension and insurance industry; Organise and participate in seminars and workshops of the research project; Assist with
-
Vacancies A Post doc position in Aluminium oxide in the PIXEurope pilot line Key takeaways The Integrated Optical Systems (IOS) group is looking for a motivated post-doc to help us setup and develop
-
team at AMOLF, working on fundamental questions on physical self-learning systems as part of the NWO ENW‑M1 project “How do physical learning systems learn?”. The research position is intended to start
-
computational constraints. Project Coordination: You will assist the PI in managing work package tasks. This includes tracking technical progress, coordinating with partners on use-case requirements, and
-
. ScaleUA involves innovation systems analysis, infrastructure mapping, governance design and investment prioritisation across three strategic sectors: energy, digital technologies and health. The project is
-
Is the Job related to staff position within a Research Infrastructure? No Offer Description Work Activities In this project you will work on expanding our terahertz (THz) time domain microspectroscopy
-
of the Netherlands is lost, making erosion the leading driver of global land degradation. This project aims to quantify erosion across a wide range of temporal scales, from millions of years to human timescales. It
-
forecasting capacity. What you’ll do Together with the PI, you will provide scientific leadership for QUASI’s observational backbone and take responsibility for the design, operation and analysis of the multi
-
encourage you to integrate your research and derived examples in your teaching. By involving students in research projects and taking research examples to the classroom, we aim to strengthen the quality
-
models that provide evidence-based reasoning for mission-critical decisions. Explainable AI for mission-critical decision support: design interpretable machine learning architectures capable of offering