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environments -Traversability analysis for environmental-based risk-aware navigation -Neural network design for environment segmentation -Detection and isolation of objects in 3D point clouds -Digital twin
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embedded systems that interact with each other and their environment to enable secure, goal-driven, autonomous, and evolvable solutions. Project description You will be working as part of a team of
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that interact with each other and their environment to enable secure, goal-driven, autonomous, and evolvable solutions. Project description You will work with some of the following areas of CPS: -Digitalized
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, Sustainable energy systems and Environmental system analysis, as well as supervising master student projects within the master program in Sustainable energy engineering. Qualifications You are qualified
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student within the Economics unit, you will be part of the research environment of the Social Sciences Division, which has some 60 employees. You will be placed in the Economics unit, which has around 20
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novel robotic systems that are characterized by advanced autonomy for improving the ability of robots to interact with the surrounding environment and humans during the execution of specific tasks
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that are characterised by advanced autonomy for improving the ability of robots to interact with the surrounding environment and humans during the execution of specific tasks. Project description The vision of RAI is
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research environment that develops new knowledge about one of the great societal challenges of our time - to support and understand the digital transformation in companies and in society. At the Information
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project EU-CoWork: Developing Compassionate Workplaces in Europe for the digital and green work environment to protect employees' mental and physical health and wellbeing. The doctoral student will be
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environment and humans during the execution of specific tasks. Project description You will be working in the field of aerial robotics and the activities will be linked with National, European and Worldwide R&D