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Field
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and objectives Vision-language-action models (VLAs) Investigate VLA models and multimodal representations that connect visual observations and language instructions to robot behaviour, including
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of data, expert knowledge, computational models, digital twins, and advanced artificial intelligence within a new intelligent decision-support framework. This position corresponds to Doctoral Candidate 15
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 3 months ago
DFKI, with a specific focus on the data, alignment, and representation-learning foundations required for robust and generalizable sign-to-text translation. Motivation and context Sign languages
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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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17 Jul 2026 Job Information Organisation/Company CNRS Department Centre Neuroscience Intégrative et Cognition Research Field Neurosciences Psychological sciences » Cognitive science Psychological
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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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of the surrounding forest as new observations arrive. Investigate compact representations of forest structure, and how they support localisation, place recognition and scene understanding Adapt models
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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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. 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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learning frameworks such as PyTorch (required) Knowledge of neural networks, transformers, and representation learning techniques (desirable) Experience in time-series modelling, biosignal analysis