Sort by
Refine Your Search
-
Listed
-
Employer
- Delft University of Technology (TU Delft)
- Eindhoven University of Technology (TU/e)
- European Space Agency
- Royal Netherlands Academy of Arts and Sciences (KNAW)
- University of Amsterdam (UvA)
- University of Groningen
- Utrecht University
- University Medical Centre Groningen (UMCG)
- University of Utrecht
- Wageningen University & Research
- ARCNL
- Erasmus University Rotterdam
- Leiden University
- Universiteit Leiden
- University Medical Center Utrecht (UMC Utrecht)
- University of Twente (UT)
- Vrije Universiteit Amsterdam (VU)
- 7 more »
- « less
-
Field
-
. Such effects include dose degradation in components, displace damage in solar cells, different types of single event effects in electronics, imaging instrument interference, internal charging and biological
-
, dielectric stability, and breakdown to guide topology selection, dv/dt management, and modulation, validated on a down-scaled prototype. Where you will work You carry out this position at TU/e Eindhoven within
-
measurement techniques such as Particle Image Velocimetry, InfraRed Thermography and Background Oriented Schlieren for the study of critical aerodynamic phenomena such as flow separation, transition
-
an experimental aerodynamics team has concentrated on the development of advanced non-intrusive measurement techniques such as Particle Image Velocimetry, InfraRed Thermography and Background Oriented Schlieren
-
back-end development strong communication and academic writing skills; Good to have criteria: experience working with geospatial or image-based data; an interest in urban health, mobility, public space
-
these operations, and then train transformer models to predict sequences of operations in unseen data. Please see Weindel, Borst, & van Maanen, eLife, 2025, Weindel, van Maanen, & Borst, Imaging Neuroscience, 2024
-
and authorities interested in improving civic participation. The research in this postdoctoral position focuses on text and image feature learning for news ecosystems, analysing the complex
-
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
-
of Remote Sensing imagery for land monitoring, from UAV and airborne platforms to imaging spectroscopy, optical to SAR satellite data at a global scale. Increasingly, our work integrates AI and machine
-
computing. The successful candidate will work with Dr. Dan Stowell and his research team. The position is set in the exciting, friendly, and interdisciplinary environment of the "Imaging & BioInformatics