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Perception Engineer: Perception Performance of Robotic Systems Position Description: The Intelligent Systems Division at NIST is investigating the performance of 3D machine vision systems for various
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/ Electronics Engineering, Computer Engineering, Computer Science, Robotics, or a closely related discipline, with foundational knowledge in signal processing and machine learning. Working knowledge of computer
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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 science/engineering or related
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us as soon as possible. Keywords: AR/XR, human-computer interaction, information visualization, data storytelling, geospatial data, graphical perception, cognitive psychology, social cognition
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activities. Where to apply Website https://jobs.fbk.eu/Annunci/Offerte_di_lavoro_Tenure_track_position_for_a_Resea… Requirements Research FieldEngineering » Computer engineeringEducation LevelPhD or equivalent
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, Mathematics, Robotics, or a related discipline. A strong interest in one or more of the following areas: AI and machine learning, computer vision, signal processing, sensing, robotics, or embedded systems
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mechanisms of learning, memory formation, perception, and behavior. Researchers with a proven track record in neuroengineering and related fields — including neuro-inspired hardware, brain-machine interfaces
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, 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 robotic
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uploaded using the dedicated electronic form. helpdesk: petra.koudelova@fsv.cvut.cz Physics-guided learning for machine control Description: Robust machine control assumes modeling of robot-environment
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representations Analysis of structure–function relationships between morphology and movement Modelling genome–phenotype relationships using machine learning and genomic language models The project offers a unique