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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 2 months ago
, sensor perturbations) without catastrophic forgetting, building on the team’s prior work in continual and self-supervised learning. Adaptation to simulated environments: transfer of perception modules
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Applications are invited for the following position: Title of Post: Research Assistant in ADAS Systems JOB SYNOPSIS The successful candidate will undertake the development datasets, machine learning
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Detection and Medical Observation (ADAMO) Lab invites you to apply for the role of Laboratory Coordinator I. The ADAMO Lab is a visual perception lab with a current focus on visual search and medical image
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Engineering, Electrical Engineering, or a related field. Experience in robotic perception, control, or learning-based methods. Proficiency in Python and C++ for AI and robotics applications. Familiarity with
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Engineering, Electrical Engineering, or a related field. Experience in robotic perception, control, or learning-based methods. Proficiency in Python and C++ for AI and robotics applications. Familiarity with
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publications in established machine learning, computer vision, artificial intelligence, and robotics venues. Depending on the contribution and maturity of the work, relevant conferences include NeurIPS, CVPR
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different dyadic motor coordination tasks. A range of neurophysiological measures (EEG, ECG and fNIRS) as well as behavioural measures will be recorded simultaneously from both partners. Machine-learning
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interaction and robot learning to autonomous navigation, swarm and multi-robot systems; and from perception, sensing, actuation, locomotion and manipulation to AI-enabled autonomy, self-driving laboratories and
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collaboration with humans, spanning: (a) novel actuator and sensor design, including soft and smart materials and metamaterials, and their integration into robotic systems; (b) physics-inspired machine learning
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operation and maintenance of equipment Job Requirement Have relevant competence in the areas of Deep Learning/Computer Vision. The experience in diffusion models is a plus. Have a PhD degree in computer