67 phd-in-architecture-landscape-built-environment PhD positions at Delft University of Technology (TU Delft)
Sort by
Refine Your Search
-
Listed
-
Category
-
Field
-
for personnel require alternative solutions, such as moving rolling stock maintenance to daytime on days or periods with less transport demand. The objective of this PhD project is to develop and demonstrate a
-
allowance and an end-of-year bonus of 8.3%. As a PhD candidate you will be enrolled in the TU Delft Graduate School. The TU Delft Graduate School provides an inspiring research environment with an excellent
-
researchers from TU Delft and Meta Platforms as a PhD student in the newly established FUSE Lab! Job description As generative artificial intelligence is transforming the daily work of software engineers, TU
-
allowance and an end-of-year bonus of 8.3%. As a PhD candidate you will be enrolled in the TU Delft Graduate School. The TU Delft Graduate School provides an inspiring research environment with an excellent
-
Description Want to rethink the future of software engineering at scale? Join researchers from TU Delft and Meta Platforms as a PhD student in the newly established FUSE Lab! Job description As generative
-
Science and Engineering at the Faculty of Mechanical Engineering, in close collaboration with the Netherlands Defence Academy. The CTE group is a dynamic team of researchers, including PhD candidates
-
social acceptance and fails to meet real needs. As part of the TACIT (Inclusive Technologies for Access and Social Participation) project, this PhD position will contribute to the co-design and co-creation
-
an end-of-year bonus of 8.3%. As a PhD candidate you will be enrolled in the TU Delft Graduate School. The TU Delft Graduate School provides an inspiring research environment with an excellent team
-
PhD candidate, you will collaborate with experienced researchers, attend conferences, and experience an international research environment. The position will focus on research and personal development
-
PhD Position on Machine Learning Detection of Positive Tipping Points in the Clean Energy Transition
to anticipate and manage. This PhD will develop a machine learning module to detect early warning signals of positive tipping points from techno-economic data, helping policymakers design adaptive strategies