Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
, organization, and function; models of perception, cognition, learning, and behavior; and statistical and machine-learning approaches for understanding neural data and brain function. We are particularly
-
influence competition; (ii) to provide novel empirical evidence on the prevalence and impact of algorithmic pricing using data from French marketplaces; and (iii) to study consumer perceptions, transparency
-
. 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
-
. 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
-
Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 3 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
-
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
-
navigation, control, perception and autonomous systems; Artificial intelligence, computer vision and sensor-based systems; Mechanical design and development of industrial equipment; Mechanical modelling
-
. 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
-
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
-
-solving approaches and perceptions of their societal roles and responsibilities, using an appropriate combination of quantitative and qualitative methods. • Develop and test a model and training approach