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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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large language models in distributed environments while safeguarding both model integrity and data confidentiality. The successful candidate will develop novel frameworks that enable effective
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spectrum of topics, ranging from fundamental vision algorithms and deep learning methods to applied research projects carried out in close collaboration with industrial and public partners. Read more on
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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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closely related field, with a strong background in AI/ML technologies, including algorithm development, optimization, and data-driven modeling. Candidates are expected to demonstrate research leadership
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more about AAU Energy and the research groups at AAU Energy: https://www.energy.aau.dk/ The mission is to be world leading in both research and research-based education of the energy engineers
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. The section also hosts research in areas including natural language processing and trustworthy AI, human-centred computing, software engineering, and distributed and interactive systems. This breadth supports
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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