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Field
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the brain representations that form the foundations of cognition. These powerful representations allow the infant to rapidly master many tasks during childhood. The InfantNeuroAI project aims to measure these
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Science (Information and Signal Processing), Speech, and Cognition. The unit conducts its research through 11 teams organized into 4 research departments: - Automation and System Safety - Data Science
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features across diverse environments. The main research tasks include: – Collection and pre-processing of airborne LiDAR datasets for the generation of multi-resolution terrain representations and training
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methods tailored to ILC. The PhD researcher will fine-tune and benchmark pathology foundation models using multi-site H&E and immunohistochemistry whole-slide images. The aim is to learn representations
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of visual learning theory, the PhD student will develop methods for understandable latent representations and implicit neural models. For further details, see the ELLIIT project Learning Geometric
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-expression research from predominantly vision-only pipelines towards multimodal foundation-model approaches that combine subtle visual motion with structured language-level representations such as action units
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of this project is to use modern multiomic spatial methods (in which our group has extensive expertise14) together with deep learning (for efficient representation and cross-modal learning) to discover the
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. Experience with pretrained representation models, transfer learning, parameter-efficient adaptation, or representation probing. Knowledge of media forensics, synthetic-content analysis, manipulation
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, behavioural research, and artificial intelligence to investigate natural sound perception in humans and machines. Your colleagues: You will join the AuditoRy Cognition in Humans and MachInEs (ARCHIE) lab
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environmental decision-making and communication, we need to understand how people build mental representations of such complex, dynamic spatial systems. Spatial cognition research has traditionally studied how