12 data-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL" PhD positions at University of Twente in Netherlands
Sort by
Refine Your Search
-
, 2020 . In this PhD project you will work on applying RNPU networks for solving computational problems that are considered hard. Information and application Are you interested in this position? Please
-
, fundamental research and/or studies involving matters of scientific urgency. Information and application Are you interested in this position? Please send your application via the 'Apply now' button below before
-
, exposing the limitations of current detection timelines. This reactive posture is worsened by a visibility gap in the DNS ecosystem. A lack of transparency in registration data, coupled with the short-lived
-
to advance predictive, data-driven production and materials planning incorporating the high variability in high-mix, low-volume (HMLV) manufacturing environments. This position is part of an Industrial
-
). 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
-
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
-
Navigators. The academic supervision team includes Dr. Engin Topan and Dr. Rob Benthuis. MULTIPLIER integrates operational data, optimization, and hybrid AI into a decision-support environment that advises
-
model to describe intra-wave cross-shore sand transport and morphodynamics (e.g. OpenFoam). The model will be validated using lab and field data. Finally, the research model will be used to inform
-
. 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
-
improvements in durability, functionality, and overall product lifetime enabled by the smart additive systems. Information and application Are you interested in contributing to the future of sustainable, high