8 mechanical-engineering-postdoc "https:" Postdoctoral positions at Radboud University
Sort by
Refine Your Search
-
(e.g. sensorimotor neuroscience, human movement sciences, biomedical engineering, artificial intelligence, computational neuroscience). You have a strong background in empirical research and
-
Employment 1.0 FTE Gross monthly salary € 3,706 - € 5,760 Required background PhD Organizational unit Faculty of Science Application deadline 18 October 2026 Apply now Join an ambitious interdisciplinary research project exploring some of the most profound questions in modern science. As part of...
-
challenge as we lack a blueprint that allows for a bottom-up engineering approach. At the same time, there is an experimental bottleneck: the number of ingredients (lipids, amino acids, cell-free gene
-
Employment 1.0 FTE Gross monthly salary € 4,925 - € 6,682 Required background PhD Organizational unit Faculty of Social Sciences Application deadline 22 October 2026 Apply now Do you want to contribute to groundbreaking research at the intersection of language, communication and cognitive...
-
Employment 1.0 FTE Gross monthly salary € 3,706 - € 5,760 Required background PhD Organizational unit Faculty of Science Application deadline 08 November 2026 Apply now Are you a lawyer with a strong interest in privacy, data protection and emerging technologies? Join the REAL-PETS project, a...
-
Employment 1.0 FTE Gross monthly salary € 3,706 - € 5,760 Required background PhD Organizational unit Faculty of Science Application deadline 08 November 2026 Apply now Are you passionate about strengthening digital privacy and helping to shape trustworthy online technologies? Join the European...
-
Employment 0.8 - 1.0 FTE Gross monthly salary € 4,925 - € 6,682 Required background PhD Organizational unit Faculty of Social Sciences Application deadline 14 September 2026 Apply now How do infants learn, and how does early learning influence later intelligence? Join our interdisciplinary...
-
, data science, applied mathematics, physics, electrical engineering, or a related field. You have a solid background in machine learning; experience with deep generative models (VAEs, GANs, diffusion