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of classical and quantum information • Distributed learning, classical or quantum, and the associated protocols Qualification requirements Applicants must be able to document a high degree of original
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innovative and creative. Keep an open mind. Expertise within the following topics will be an advantage: Distributed control, Cyber-physical systems, Communications engineering, Smart transformers Expertise
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mandatory Stipend 2: Species interaction networks in a changing world We seek a PhD candidate to develop methods for merging network ecology with species distribution modelling to investigate the impacts
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with strong backgrounds in NLP are preferred. Stipend 3:Provable security in networked systems Designing secure and privacy-preserving AI in distributed environments, with strong emphasis on provable
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on privacy, design, and tech policy. The HCC research group is distributed across the Aalborg and Copenhagen campuses and provides a highly supportive research environment with skilled and friendly colleagues
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internet Quantum embeddings for machine learning Networked quantum sensing supported by distributed classical communication Prospective applicants to this PhD proposal should have the following