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to think independently, is under threat from growing reliance on artificial intelligence (AI) technology. While designed to assist, AI recommendations may inadvertently impede cognitive reasoning and steer
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organizational theory, the learning sciences, digital transformation, digital technologies, human-computer interaction, and related fields. Within the specific field, the PhD student will engage in both research
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which features are relevant? These questions are at the core of anomaly detection and despite being a well-established field of research, these are still very much open problems. To this end, we
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The Department of Electronic Systems at The Technical Faculty of IT and Design invites applications for a PhD stipend in the field of wireless-native Physical AI Systems within the general study
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develop an original and independent line of research within the field. As part of the application, applicants are expected to outline a project description (approx. 5 pages, as mentioned below) in which
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to conduct independent, systematic, and scientifically rigorous research while working effectively in a multidisciplinary team. Good written and spoken English. Experience with some of the areas
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technology, such as IT-based didactic design, IT, learning and organizational change, techno-anthropology or related field that focuses on sociotechnical theory and qualitative methodology. The candidates
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in computer science, software engineering, human-computer interaction, Medialogy, AI, machine learning, or a related field. The position will require the candidate to work both on the front and back
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researchers, healthcare professionals, municipalities, community organisations and patient representatives. The position therefore requires the ability to work independently with multiple tasks while also being
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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