Sort by
Refine Your Search
-
, to create a unified and reliable representation of structural integrity. The work expands on TU/e’s contributions by developing algorithmic components for detection and classification of defects and anomalies
-
of large neural models, and secondly to analyse and explain the representations that these systems are using. As a PhD candidate, you will conduct independent research in Neurosymbolic AI. This continues
-
conduct independent academic research within the framework of the project and work towards a doctoral dissertation. Your research will examine the contemporary cultural and touristic representation of witch
-
the framework of the project and work towards a doctoral dissertation. Your research will examine the contemporary cultural and touristic representation of witch persecutions in the Netherlands and explore how
-
representations with limited, weak, or noisy supervision Adapting, specializing, or probing large pre-trained models for domain-specific visual understanding Self-supervised and representation learning for images
-
learning video-AI models; b) assess representational alignment of bio-inspired deep learning models to the human brain. The bio-inspired models will be enriched with different temporal integration mechanisms
-
will improve the land surface representation of PCR-GLOBWB by including new to be developed soil and vegetation modules and an energy balance. Secondly you will use AI-based surrogates to speed up