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Field
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of self-similar stochastic processes, the so-called Hermite processes. Self-similar processes are stochastic processes that are invariant in distribution under a suitable time scaling. The purpose is
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three years. The fourth year is distributed as 25 % each year and will consist of teaching and other duties. The objective of the position is to complete research training to the level of a doctoral
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is optimally placed to improve the overall defence performance of a distributed counter-drone capability. The use of a multistatic radar network can potentially provide a significant improvement in
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for distributing bigraphical world models using Conflict-free Replicated Data Types (Bigraph-CRDT) and to extend these methods for the general distribution of DT data, ensuring high availability and resilience
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, contribution to supplementary health insurance, continuous professional training. To support the transition to more sustainable polymers, the PhD student (m/f) will develop a new generation of dynamic polymer
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introduces cell-free (CF) solutions based on O-RAN and AI to improve radio capacity while reducing energy consumption by up to 30% and cutting costs by a factor of 4 via distributed cascaded optical-hybrid
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-generation network architectures. The work will contribute to the development of secure, efficient, and scalable communication solutions for 6G systems. The project is particularly suited to candidates with
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analysis, with the aim of understanding how quantum-safe cryptography can be effectively integrated into next-generation network architectures. The work will contribute to the development of secure
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research school on secure distributed computing (SeDiC) is proposed. SeDiC aims to tackle the challenges of exchanging and computing data across a network of interconnected systems. It addresses scalability
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reached. However, this macroscopic point-of-view ignores the nanoscale spatial heterogeneity of the temperature distribution while strong thermal gradients could induce localized therapeutic effects