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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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The Danish Confederation of Professional Associations on Academics in the State. Questions For specific information about the PhD fellowship, please contact the principal supervisor. General information
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scenarios, and analyse the resulting data. You might further engage in qualitative follow-up studies gaining in-depth knowledge about the underlying mechanisms. A central part of your work will be
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of October 2026 or as soon as possible thereafter. Information about the project can be found at https://psychology.ku.dk/coinact/our-research/research/ Job content The PhD student will be part of a project
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information Further information may be obtained from Head of Section Britt Bang Jensen, tel: +45 9351 8948, email: [email protected] You can read more about The Section for Fish and Shellfish Diseases here
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training course within the first year of employment. The candidate will most likely be expected to conduct teaching, supervision, and examination within the Danish programme. Applicants can find information
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training course within the first year of employment. The candidate will most likely be expected to conduct teaching, supervision, and examination within the English programme. Applicants can find information