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a particular focus on the integration of artificial intelligence with wireless sensing and communication. The research will study how radio signals and multimodal sensor observations can be jointly
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dynamics, control algorithms and sensor integration can be designed as a coherent system to improve speed, range, maneuverability, response time and operational robustness while also having underwater
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programs, including a broad array of topics within accounting. The position includes supervision of project groups and individual students, participation in research collaborations within the group, and
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questions, and be able to think critically and develop your own scientific ideas. Previous experience with machine learning, wearable sensors, haptics and control systems is an advantage but is not required
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commissioning and adaptive control. The PhD candidate will develop methods for the ongoing, automated adjustment of controllers, sensors, actuators, and associated control hardware. Rather than one-time
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engineering, system integration, electrical engineering, machine elements, robotics, sensors, mechatronics, and advanced actuator design. As associate or full professor, you are expected to contribute
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partners. The model will represent the main structure of the process, including thermal behaviour and gas flows, key dynamics of the system apparatus, sensor and actuator dynamics, and relevant thermal and
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researcher will investigate how AI embedded in physical entities, such as robots, vehicles, or sensors, form representations of space, motion, and context through continuous, multimodal interaction with
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researcher. Disseminate the results of your research to the public. Participate in the day-to-day life of CNAP (e.g., research meetings, Round Table Meetings, seminars, social activities). Develop a solid