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for resilient manufacturing systems. This topic will build upon existing theory on modular and reconfigurable manufacturing systems and develop methods and model-based approaches to design and evaluate resilient
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and 2 focus on the design, development, and evaluation of conversational AI in the context of mental health and well-being, combining AI expertise with human-centred design principles. Stipends 3 and 4
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We live in a world where robots are increasingly used in industry and healthcare but making them work naturally with humans remains a challenge. AI:Cybernetics develops a new kind of control system
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of quantum information and quantum computing; Curiosity to research and develop new solutions in collaboration with senior and junior researchers within the research group and the Center CLASSIQUE; Readiness
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well as developing solution algorithms applying mathematical and computational approaches. The group has a particular focus on automated decision making in autonomous cyber-physical systems. Autonomous systems and
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been and are developed through interdisciplinary co-operations. Thereby, as an employee at the Department you will become a part of an international research environment, where focus is on innovation
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, Software, Cybersecurity, or a closely related area. Candidates with strong backgrounds in cybersecurity and machine learning are preferred. Stipend 4: Autonomous Cyber Defense Developing AI-driven systems
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financial econometrics—to ensure they can effectively teach and contribute to foundational courses. Successful applicants will be responsible for developing and contributing to the research strategies
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for personal and professional development. Qualification Requirements PhD stipends are normally for a period of 3 years. PhD stipends are allocated to individuals who hold a Master’s degree, or expect to have
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research and teaching experience relevant to the L-ILD research group, covering one or more of the following areas: Pedagogical research and development Visual methods and design approaches Organizational