Sort by
Refine Your Search
-
Listed
-
Employer
- European Space Agency
- Delft University of Technology (TU Delft)
- Delft University of Technology (TU Delft); Delft
- University of Groningen
- Eindhoven University of Technology (TU/e)
- Maastricht University (UM)
- Maastricht University (UM); Maastricht
- University of Twente (UT)
- Delft University of Technology (TU Delft); yesterday published
- The Netherlands Cancer Institute
- The Netherlands Cancer Institute; Amsterdam
- University Medical Center Utrecht (UMC Utrecht)
- University of Amsterdam (UvA)
- University of Amsterdam (UvA); Amsterdam
- University of Amsterdam (UvA); today published
- Vrije Universiteit Amsterdam (VU)
- Wageningen University & Research
- 7 more »
- « less
-
Field
-
well as collaborate with PhD candidates. You'll design experiments using our robotic platform, analyze tactile data patterns, implement real-time control algorithms, and validate performance across diverse scenarios
-
manufacturing technologies, including light-based (DLP) and extrusion-based (3D fiber deposition) approaches. You will take the lead on applied physics, mechanics, manufacturing processes, and algorithm/coding
-
blend theoretical approaches with hands-on experimentation, as well as collaborate with PhD candidates. You'll design experiments using our robotic platform, analyze tactile data patterns, implement real
-
deep learning algorithms. We welcome applications from individuals with experience in: Experience developing deep learning models for real-time image/video segmentation, object tracking, reinforcement
-
algorithms that maximize the information extracted from images and delivered to the robot. To be successful in this role, we are looking for candidates to have the following skills and experience. We welcome
-
collaboration with national and international partners. In addition, there will be plenty of opportunities to collaborate with fellow postdocs and PhD students at the Bioinformatics chair group in Wageningen. You
-
and Mission Science team located at ESTEC (Noordwijk, Netherlands) to align the development of AI-driven methodologies and algorithms with the CHIME mission. Technical competencies Knowledge relevant
-
, encryption/decryption and compression; use of microelectronics devices (including COTS); implementation, inference, verification and validation of algorithms** on processing hardware platforms for space
-
. You will take the lead on applied physics, mechanics, manufacturing processes, and algorithm/coding development within the bioprinting domain. This position is part of a larger, EU-funded Horizon Europe
-
in using AI technology in citizen-state interactions. How can we design fair algorithms, and how can we govern AI-related risks? The position is funded for a period of 18 months, preferably starting