21 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "IFM" "IFM" "IFM" PhD scholarships at University of Twente
Sort by
Refine Your Search
-
). The field of Machine Learning on Graphs aims to extract knowledge from graph-structured and network data through powerful machine learning models. Designing provably powerful learning models for graphs will
-
future of sustainable materials and technologies! Information and application Are you interested? Send your application before March 31, 2026 via the provide button and should include: Personal motivation
-
support systems, specifically simulation games and geospatial digital twins. These systems use detailed representations of a real-world environment and its processes by linking to a myriad of data and
-
use cookies and similar technologies to process your personal data (e.g. IP address) for personalised content, ads and third-party media integrations. Functional and strictly analytical cookies
-
cookies and similar technologies to process your personal data (e.g. IP address) for personalised content, ads and third-party media integrations. Functional and strictly analytical cookies are always set
-
. Information and application Interested? Send your application before February 15th, 2026 through the provide button and should include: transcript of your MSc course grades CV, including publication list (when
-
experimental campaign to characterize its performance. You will be responsible for setting up a state-of-the-art data acquisition system to monitor temperatures, flow rates, and power consumption. Your
-
. Supervision of the PhD position is in collaboration with Delft University of Technology. Information and application Are you interested in this position? Please send your application via the 'Apply now' button
-
tools that assist engineers in selecting suitable materials for AM-based repair. Information and application Are you interested in this position? Please send your application via the 'Apply now' button
-
reusability criteria. They will develop and validate this methodology by integrating material databases with digital tools that assist engineers in selecting suitable materials for AM-based repair. Information