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of quantum information – e.g. the no-cloning principle – to provide improved privacy in distributed computation settings. As part of the position, you will be expected to collaborate with other researchers
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experimental validation of control strategies for the developed systems. This includes the development of advanced control algorithms capable of handling varying operating conditions, ensuring system stability
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and corrective feedback. You will apply advanced algorithms for machine learning, multimodal biosignal processing, and human-state inference, working with shared-control strategies and electrotactile
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ICT, Learning and Organizational Change or the continuing education programme in IT and Learning. Information about the academic content of the programmes is available here: https://www.aau.dk
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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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Doctoral Network funded by the Marie Sklodowska-Curie Actions (MSCA), dedicated to advancing innovative solutions for vibration and noise control in lightweight structures (https://cordis.europa.eu/project
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-of-the-art digital methods and/or algorithms in the study of social world phenomenon? The Department of Society and Politics, the Faculty of Social Sciences and Humanities, AAU invites applications for a 3
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to make infrastructures and production more effective and energy-efficient, with algorithms that autonomously learn the behaviour of technical and socio-technical systems and make optimal decisions without
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deliver a theoretical, algorithmic, and real-time implementation framework for on-the-fly autonomy in crowds. The resulting methods will (i) adapt to unpredictable human interactions that introduce high
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, ethnography, and policy studies. Further description of the project can be found here: https://dff.dk/en/our-funded-projects/meet-the-researchers/research-leaders/eksterne-personer-en/research-leaders-2026