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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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array antenna systems for imaging MIMO radar in autonomous driving applications. This work will advance the design and characterization of intelligent devices and environments for wireless communications
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training infrastructure must eventually scale beyond a single data center, requiring communication between multiple data centers over Wide Area Networks or the Internet. Such communication exposes
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. This project will explore techniques to secure these systems against novel network-level attacks. Key objectives include developing secure communication protocols, analyzing vulnerabilities in peer-to-peer and
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of 21 partners, coordinated by Fraunhofer ICT in Germany. The network will recruit a total of 17 doctoral candidates for project work lasting for 36 months. Additionally, within the present subproject, 12
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to carry out individual project work in a European country other than their own. The training network “SPACER” is made up of 21 partners, coordinated by Fraunhofer ICT in Germany. The network will recruit a
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programs offered at the department are taught in English and attract applicants from all over Europe. At present members of the department include doctoral students, post-docs and faculty from at least 15
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networks (CNNs), which identify local correlations in the images. However, in this project, the aim is to go beyond standard CNN-based methods by developing new approaches based on transformers, and implicit
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receive the benefits of support in career development, networking, administrative and technical support functions, along with good employment conditions. More information about the department is available
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the Wallenberg Initiative on Networks and Quantum Information. Quantum sensing is a rapidly developing quantum technology that promises unprecedented precision in measuring small parameters and detecting weak