Sort by
Refine Your Search
-
Listed
-
Employer
- Delft University of Technology (TU Delft)
- Tilburg University
- Utrecht University
- Delft University of Technology (TU Delft); Published yesterday
- Delft University of Technology (TU Delft); yesterday published
- European Space Agency
- University of Amsterdam (UvA)
- Amsterdam UMC
- Delft University of Technology (TU Delft); Published 11 Nov ’25
- Delft University of Technology (TU Delft); Published today
- Eindhoven University of Technology (TU/e)
- Max Planck Institute for Psycholinguistics
- Max Planck Institute for Psycholinguistics; today published
- Radboud University
- University of Amsterdam (UvA); Published 7 Nov ’25
- University of Amsterdam (UvA); today published
- Utrecht University; Published 11 Nov ’25
- 7 more »
- « less
-
Field
-
diversities. The point of departure is "people"—their routines and travel behaviours, their daily frustrations with various mobility obstacles, and the impact of these hindrances on their personal, social, and
-
data acquisition, and sensor integration (vibration, AE, thermal). Strong background in signal processing and machine learning (Python and/or MATLAB), with a track record in diagnostics/prognostics
-
of this project is the holistic experience of urban mobility in the daily lives of individuals with physical and cognitive diversities. The point of departure is "people"—their routines and travel behaviours
-
image processing and analysis method development. The position builds on the lab's track-record in the field of computational imaging techniques for super-resolution microscopy and image analysis
-
to investigate structure-property relationships of the synthesized materials both from fundamental point of view and for industrial application in CO2 separation and storage processes; You are open to
-
signals for richer, more natural interaction. In this project, you will carry out research as described in the project proposal, which includes: Developing generative models that produce gestures grounded
-
: responsive to objects and to interlocutors, aligning speech and visual signals for richer, more natural interaction. In this project, you will carry out research as described in the project proposal, which
-
. One challenge here is to understand and control the dynamic response of the system for complex input signals. Your goal will be to explore material systems that host novel types of correlated electron
-
assess relevant climate change metrics or indicators for the above point; design AI pipelines that fuse EO data and climate scenarios/projections (e.g., CMIP, CORDEX, DestinE Digital Twin for Climate
-
, Materials Science or related field; You have relevant experience with the synthesis and characterisation of metal-organic frameworks; expertise in adsorptive separations and materials processing is a pro; You