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-terrestrial networks where communication signals will be linked via satellites. A portion of the communication signals will be reflected from the Earth's surface and can be received by satellites in the same
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fundamental problems related to the design and optimisation of next-generation network services, the candidate will formulate and demonstrate novel techniques for advanced and trustworthy communication networks
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and estimation Multi-agent planning and cooperation Communication-aware coordination strategies Learning-based control in networked systems Resilience and safety in multi-agent systems
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PhD Position in Theoretical Machine Learning – Understanding Transformers through Information Theory
environment You will join the Communication Systems (CS) group within the Division of Communications, Antennas, and Optical Networks (CAOS) at the Department of Electrical Engineering . The group includes nine
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diverse community of individuals from a wide range of nationalities. As a PhD student with us, you benefit from comprehensive career development support, opportunities for networking, and access to robust
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the unknown, as well as an ability to pay attention to details. You should also have strong communication skills in English, both in writing and orally. Your workplace The Division of Automatic Control is
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application! We are now looking for a PhD student in Automatic Control, at the Department of Electrical Engineering (ISY). Your work assignments The research area of this position is complex networks and
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that use an international peer-review system is highly meritorious, as is experience of international collaboration and participation in research networks. Publications within the project’s research area are
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programming Excellent communication skills in English, both written and oral Ability to work independently, take initiative, and assume responsibility Strong collaborative skills, due to the interdisciplinary
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Join us for an exciting and excellent PhD journey to create the future of maintenance! Explore the fascinating future of Net Zero industries where complex and highly automated equipment need