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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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software architecture and signal processing. You will work closely with our international team of collaborators to ensure the system meets the rigorous requirements for clinical skin sample analysis. Your
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platforms can unify production environments, enabling predictive maintenance and data-driven optimization through centralized data platform architectures. Your research will focus on addressing current
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. Understanding of embedded programming, computer architecture and digital electronic systems. Experience with low-level bare-metal coding, particularly in C/C++. Understanding of digital electronic systems
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backgrounds in: Civil, Architectural, and Environmental Engineering, Computer and Software Engineering, Computer Science, or a related discipline such as Mechanical Engineering. Candidates must have completed a
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development of DTUs educations in Architectural Engineering and DTUs teaching activities in Greenland. We are looking for candidates that have experience within several of the areas below: Building design