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. Key Responsibilities: Develop and implement perception and control algorithms for robotic arms and embodied AI systems. Assist in integrating multimodal AI models (vision, language, force sensors) with
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. Key Responsibilities: Develop and implement perception and control algorithms for robotic arms and embodied AI systems. Assist in integrating multimodal AI models (vision, language, force sensors) with
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basis of visual perception and cognition, using an interdisciplinary approach. Research methods include human behavioral experiments, monkey electrophysiology, and computational modeling. Projects
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 2 months ago
for social assistive robots primarily rely on a human-robot substitution model, where the robot replaces a human agent. The ĀnandaBot project (PEPR eNSEMBLE, France 2030, 2026–2030) instead investigates a
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Are you interested in advanced computational modelling and state-of-the-art scientific software? Join us in creating the Bayesian multiverse: a computational framework for robust statistical analyses
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) acquired during natural sound perception and use state-of-the-art AI models to investigate how the human brain transforms acoustic information into meaningful representations. By comparing representations in
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robot learning and edge deployment. Closing date: 15 August Overview Robotics is entering a new phase where foundation models connect perception, language and action. Vision-language-action models, robot
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unit: Institute of Computational Perception Entry date: 10/01/2026 Job Reference Number: 34400-2026-002088 Job Duties: Conduct independent research in the fields of recommender systems, user modeling
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Job Title: Chief Editor, Nature Robotics Location: Shanghai, Madrid or Pune -Hybrid Working Model Application Deadline: 1st November 2026 (candidates will be considered as they apply) About Springer
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, particularly EEG; • Programming experience, particularly in R and Python; • Proficiency in statistical methods commonly used in psychology and neuroscience (ANOVA, linear models, etc.); • Familiarity with