Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Delft University of Technology (TU Delft)
- University of Amsterdam (UvA)
- University of Twente (UT)
- Wageningen University & Research
- Eindhoven University of Technology (TU/e)
- Leiden University
- University Medical Center Utrecht (UMC Utrecht)
- Vrije Universiteit Amsterdam (VU)
- Erasmus MC (University Medical Center Rotterdam)
- Radboud University
- AMOLF
- ARCNL
- Maastricht University (UM)
- NIOZ Royal Netherlands Institute for Sea Research
- University of Twente
- Utrecht University
- Amsterdam UMC
- Erasmus University Rotterdam
- Erasmus University Rotterdam (EUR)
- Max Planck Institute for Psycholinguistics
- Netherlands Heart Institute
- 11 more »
- « less
-
Field
-
(University College Dublin) and Prof. Leo de Vreede (TU Delft). This position directly connects to DISRUPT’s planned work on efficient ML-based DPD, accelerator architecture, silicon tape-out, and prototype
-
real-to-sim-to-real pipelines that automatically construct simulation environments from video recordings or images of real-world robotic tasks, enabling scalable and low-cost training data generation
-
cancer prevention and improved survivorship. The project advances a paradigm shift: transport is no longer a source of negative impacts – such as safety issues and adverse health effects, but rather a
-
imaging, and organoid models. The main objectives of the project are to determine the specific types of DNA damage induced by mechanical alterations, to characterise the resulting transcription‑stress
-
major European initiative developing scientific foundation models (SciFMs) for materials science. SciFMs are emerging as a powerful paradigm for scientific discovery. SIMU-LINGUA addresses key challenges
-
in September 2026. Physical learning is an emerging paradigm in which materials adapt their behavior through local physical rules, without digital computation. Despite rapid experimental progress, it
-
microscope, as well as a slide scanner for high-throughput imaging. As a research assistant, you will primarily support the generation, maintenance, and functional characterisation of human stem cell-derived
-
into clinically relevant hypotheses and protocols. You analyze clinical, physiological, and imaging datasets with rigor and reproducibility. You publish your results in peer-reviewed journals, present
-
are a revolutionary paradigm for autonomous driving, enabling systems to jointly perceive, reason, and act in complex environments. However, evaluating such end-to-end models remains challenging, as most
-
of manuscripts, the poetics of prayer, the function of images, and changes and continuities in relation to religious movements and the advent of print. PRAYER aims to yield an integrative understanding of the role