Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Radboud University
- European Space Agency
- Leiden University
- Delft University of Technology (TU Delft)
- Delft University of Technology (TU Delft); Delft
- Max Planck Institute (MPI) for Psycholinguistics
- University of Groningen
- University of Twente
- Leiden University; 's-Gravenhage
- University of Twente (UT)
- University of Twente (UT); Enschede
- Utrecht University
- Wageningen University & Research
- CWI
- Eindhoven University of Technology (TU/e)
- Eindhoven University of Technology (TU/e); Eindhoven
- Erasmus University Rotterdam
- Erasmus University Rotterdam (EUR)
- KNAW
- Maastricht University (UM)
- Maastricht University (UM); Maastricht
- Radboud University Medical Center (Radboudumc)
- Radboud University Medical Center (Radboudumc); Nijmegen
- The Netherlands Cancer Institute
- The Netherlands Cancer Institute; Amsterdam
- University of Amsterdam (UvA)
- University of Amsterdam (UvA); Amsterdam
- Utrecht University; Utrecht
- Wageningen University and Research Center
- 19 more »
- « less
-
Field
-
the autonomous event reaction management part of the fault detection, isolation and recovery (FDIR) software. (a)Assessing the performance and fault tolerance of neuromorphic hardware The main objective
-
of developing cutting-edge deep learning models for real-time image and video analysis (e.g., segmentation, object tracking, reinforcement learning), with applications to medical imaging and robotic systems. In
-
learning models for real-time image and video analysis (e.g., segmentation, object tracking, reinforcement learning), with applications to medical imaging and robotic systems. In this role, you will
-
experts and in alignment with ongoing initiatives within the Agency. Your objectives will be to perform independent research and development, targeting one or more of the following key areas, subject to
-
diverse domains—such as manufacturing, rental platforms, and production systems—where decision-making must balance conflicting objectives, leverage real-time data, and ultimately support sustainable
-
Generation in Context: Object- and Interaction-Aware Generative AI Models of Language Use”. Preferred start date is 1 February 2026 but is negotiable. Job descriptionFace-to-face conversation is the primary
-
Generation in Context: Object- and Interaction-Aware Generative AI Models of Language Use”. Preferred start date is 1 February 2026 but is negotiable. Job descriptionFace-to-face conversation is the primary
-
Translating deep learning models into clinical settings Experience developing deep learning models for real-time image/video segmentation, object tracking, 3D reconstruction, super-resolution. Have a passion on
-
Generation in Context: Object- and Interaction-Aware Generative AI Models of Language Use”. Preferred start date is 1 February 2026 but is negotiable. Job descriptionFace-to-face conversation is the primary
-
settings Experience developing deep learning models for real-time image/video segmentation, object tracking, 3D reconstruction, super-resolution. Have a passion on obtaining external funding and project