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collaboration with a leading architectural firm. The candidate is expected to publish in leading Human-Computer Interaction venues. Your competencies You hold a master’s degree in human-computer interaction
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physics. Odense is a fast-growing international community with an open Scandinavian culture, affordable housing and living costs. For more information on the QM centre, please visit https://www.sdu.dk/en/qm
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communication skills. Proficiency in written and spoken English is mandatory. Further information: You may obtain further information concerning the scientific aspects of the stipend from Assistant Professor
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to contact us. You will find contact persons at the bottom of the jobpost. Further information Read more about our recruitment process here. The assessment of candidates for the position will be carried out by
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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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, data, and analytical frameworks related to existing buildings, and contributing to the development and testing of AESA approaches for renovation and transformation practices. Your competencies
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-principles physical knowledge with data-driven learning to enable continuous, autonomous system oversight. Research objectives The project pursues two interconnected research directions: Continuous
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dynamic, crowded environments. As a PhD candidate, you will develop methods that combine data-driven autonomy with formal safety guarantees and validate them in real time through simulation and experimental
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machine learning models that can detect unusual, unsafe, or attacked operating conditions. Developing data-driven models that capture how faults and attacks spread through a system, and using them to make
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in one of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education