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in time-predictable computer architecture. Designing a network-on-chip for real-time automotive systems Verify the design with modern verification methods, such as function verification and formal
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fabrication methods (robotics) while integrating real-time lifecycle data into decision-making that substantially reduces the construction phase’s environmental impact. The selected candidate will work on DTs
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of TSN-based in-vehicle networks. These networks carry mixed-criticality traffic and use TSN with multiple traffic shapers and redundant communication. You will investigate methods for runtime analysis
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. Qualifications: You should have (or be close to achieving) a PhD degree. Background within computational methods for inverse problems, ideally tomography. Experience with development of numerical implementations
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transformation Publish research results in top-tier peer-reviewed journals and present at international conferences. Innovative integration Research and integrate new methods and technologies to merge existing
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the physical chemistry of hydrogen bonds. Your overall focus will be the collection of experimental spectroscopic data and its analysis with quantum calculation techniques and molecular simulation methods. Your