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- NTNU - Norwegian University of Science and Technology
- NTNU Norwegian University of Science and Technology
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. The robotics group at NMBU conducts research in two key areas: (1) mobile robotics for agriculture, and (2) manufacturing and food processing. This PhD position falls within the first area, targeting the design
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; researches the interaction between people, technology, society and nature; and designs innovative, human-centred and aesthetic products, systems and services. The position is based in Trondheim and will be
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of technology and society, researches the interaction between people, technology, society and nature, and designs innovative, human-centred and aesthetic products, systems and services. Are you motivated to take
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cookie and refresh page to watch video, or click here to open video) About the position The Department of Design at NTNU carries out research and education on the interaction between people, technology
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an understanding of technology and society, researches the interaction between people, technology, society and nature, and designs innovative, human-centred and aesthetic products, systems and services. Are you
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, and cross-domain knowledge transfer between robot types and manipulation scenarios by considering important challenges which include interaction and perception modalities and control methods to increase
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interaction with the colleagues at NTNU Work in a structured way, set goals and make plans to achieve them Be flexible and open to adjusting the plan for the project as needed Emphasis will be placed
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position is available at the Research group for Host-Microbe Interaction (HMI), Department of Medical Biology (IMB), Faculty of Health Science and will be allocated the newly established Clinical Academic
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Group (BT) offer a PhD opportunity at the intersection of acoustics and PV systems. This position explores how to integrate PV technologies into acoustic design and investigates acoustic behaviour
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will be designed to work collaboratively with trainees and instructors rather than replacing them. The AI agents will leverage LLMs for knowledge acquisition, natural language interaction, and decision