Sort by
Refine Your Search
-
Listed
-
Employer
- Delft University of Technology (TU Delft)
- Delft University of Technology (TU Delft); Delft
- Delft University of Technology (TU Delft); yesterday published
- Delft University of Technology (TU Delft); today published
- Delft University of Technology (TU Delft); 17 Oct ’25 published
- Leiden University
- Erasmus MC (University Medical Center Rotterdam)
- Maastricht University (UM)
- University of Groningen
- University of Twente (UT)
- Delft University of Technology
- Delft University of Technology (TU Delft); 16 Oct ’25 published
- Eindhoven University of Technology (TU/e)
- Eindhoven University of Technology (TU/e); Eindhoven
- Eindhoven University of Technology (TU/e); yesterday published
- Erasmus MC (University Medical Center Rotterdam); yesterday published
- Leiden University; today published
- Maastricht University (UM); Maastricht
- Maastricht University (UM); 26 Sep ’25 published
- University of Twente
- University of Twente (UT); Enschede
- 11 more »
- « less
-
Field
-
about tackling both deep research challenges and real-world software problems, this project is for you. Seeking a PhD student who values the strengths of formal reasoning while recognizing its current
-
Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description We are seeking a highly motivated PhD candidate to join a project focused on
-
Join us to decode how genetic variation reprograms brain cells and disrupts their communication using AI Job description We are looking for a PhD student to work at the intersection of machine
-
longer sustainable. This project pioneers a new paradigm: we design smart, low-power digital AI co-processors that learn and correct the imperfections of their analog counterparts in real-time. As a PhD
-
PhD candidates, postdocs, and faculty members. Our group focuses on understanding and mitigating corrosion processes, and on the development of electrocatalysts and electrochemical sensors through
-
, particularly the role of modal couplings in energy transfer and dissipation, remains a fundamental challenge. This PhD project offers a unique opportunity to tackle these two complementary perspectives. In
-
devices. Yet, predicting and exploiting nonlinear behaviour, particularly the role of modal couplings in energy transfer and dissipation, remains a fundamental challenge. This PhD project offers a unique
-
close collaboration with the Netherlands Defence Academy. The CTE group is a dynamic team of researchers, including PhD candidates, postdocs, and faculty members. Our group focuses on understanding and
-
to change that. Working closely with chemists, we have developed mechanosensing chemistry that enables soft materials to “report” their internal stresses directly through imaging. In this PhD project
-
directly through imaging. In this PhD project, you will combine synthetic, characterization and imaging tools to understand how chemistry-based imaging connects to continuum mechanics and allows us to