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, ECG, GSR and other biosignals. Multimodal data analysis Machine learning and advanced statistical modeling Research experience in perception, consciousness, cognition, or emotions will also be valued
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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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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | about 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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on advanced perception and scene understanding for robotic harvesting. The successful candidate will contribute to the development of novel methods for: simultaneous 3D scene reconstruction and plant modelling
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perception, and validate experimental results using real-world data obtained with citizen science. The project will also model the effects of nature on time perception at the landscape scale under different
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nature experiences influence human time perception, and validate experimental results using real-world data obtained with citizen science. The project will also model the effects of nature on time
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across a range of application areas, including education and healthcare. As these systems are increasingly deployed in high-stakes environments, there is a growing need for machine learning models
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, joint UD-Penn NSF HAIC postdocs may be housed in the General Robotics, Automation, Sensing, and Perception (GRASP) Lab (https://grasp.upenn.edu) and the Wharton School (https://wharton.upenn.edu
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ingredients. The working group Molecular Modeling / Section III is looking for 1 post-doctoral fellow, to start on 01/12/2026 The position is to be filled for a period of 2 years. Research project Advancements
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developing leaders who are empowered to halt the climate crisis and create an environmentally sound future for generations to come. To learn more about SEAS and our values, please visit our website at https