Sort by
Refine Your Search
-
Listed
-
Employer
- Delft University of Technology (TU Delft)
- Eindhoven University of Technology (TU/e)
- European Space Agency
- University of Amsterdam (UvA)
- University Medical Centre Groningen (UMCG)
- Utrecht University
- ARCNL
- Leiden University
- Royal Netherlands Academy of Arts and Sciences (KNAW)
- Universiteit Leiden
- University of Groningen
- University of Twente (UT)
- University of Utrecht
- 3 more »
- « less
-
Field
-
with scientific programming and quantitative data analysis, particularly in Python, is welcomed. Experience with droplet generation, thermal diagnostics, image processing, or automated experimental
-
requirements and priorities. Strong skills in data analysis, image processing, and programming (e.g., Python/C++). Demonstrated experience in publishing scientific journal papers. Fluent in English (oral and
-
Are you excited about pushing the boundaries of ultrasound imaging? Join our team to develop next-generation multi-aperture ultrasound technology combining distributed sensing, adaptive acquisition
-
imaging applications. The researcher will work in an interdisciplinary MRI research environment and collaborate closely with researchers in MR physics, engineering, and biomedical imaging. The position
-
, Electrical Engineering, Applied Physics, Computer Science, Medical Imaging, or a related field. Strong expertise in ultrasound imaging, signal processing, computational imaging, medical image reconstruction
-
engineering, substrate recovery strategies, manufacturing process development and process integration. The ultimate goal is to establish scalable and sustainable manufacturing methodologies that reduce material
-
5 Sep 2026 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Engineering » Aerospace engineering Engineering » Systems engineering Researcher Profile
-
-resolution imaging to altimetry. In TU Delft, we are openning a 2-year postdoctoral researcher position to advance this promising field. The position is part of NL-RIA 2.0, the Dutch network on small
-
or a closely-related field. Demonstrated experience with SAR image processing using SNAP, PolSARPro or similar. Experience in the use of SAR for agricultural applications. Demonstrated proficiency in
-
Research project description Minimally invasive surgery has revolutionized medicine by enabling interventions without large incisions, thereby significantly improving clinical outcomes