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Sensor Fusion: Strong background in processing and fusing data from cameras, LiDAR, radar, or other sensors for robust autonomous system perception ML Engineering and Experimentation: Proficiency with
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Autonomous Transportation. As far as technical enablers are concerned, we leverage expertise on advanced technologies including semantic/task-oriented data processing, signal processing, network resource
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processing for wireless communication systems including satellite communications and radar systems and is currently expanding its research activities in exploring several emerging use cases of next generation
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Autonomous Transportation. As far as technical enablers are concerned, we leverage expertise on advanced technologies including semantic/task-oriented data processing, signal processing, network resource
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/admittance, force control Experience with Artificial Intelligence and deep learning concepts for robotics computer vision, tactile sensing, reinforcement learning Experience with robotic simulation tools e.g
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integration of end-to-end healthcare connectivity solutions, combining devices/sensors, real-time data flows, edge/cloud processing and user-facing applications. • Supporting the configuration and validation
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certification processes for such systems for the industrial partner: Explore approaches to generate safety cases and evidence suitable for contributing to the potential certification of these AI components
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development of new project proposals. • Supporting knowledge transfer and demonstration of developed solutions in real or simulated industrial scenarios. Is Your profile described below? Are you our future
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(or equivalent research experience) in computational, statistical, or data-driven modelling Experience working with complex scientific datasets, either from simulations, experiments, or a combination of both
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or simulated industrial scenarios. Is Your profile described below? Are you our future colleague? Apply now! Education PhD in Computer Science, Telecommunications, or a closely related field. Strong background