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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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digital technologies within mathematics, data science, computer science, and computer engineering, including artificial intelligence (AI), machine learning, internet of things (IoT), chip design
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interest and documented skills and experience in using computer-based tools to analyse, simulate and predict capture performance of active and passive fishing gears. A track record of publishing in peer
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internationally recognised academic environment with over 400 employees and 10 research sections. We broadly cover digital technologies within mathematics, data science, computer science, and computer engineering
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. Evaluate and understand how experimental conditions effect both the chemical, physical, and mechanical properties of the prepared films (e.g., using scanning electron and atomic force microscopy, infrared
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. The scientific environment at our department is vibrant and highly collaborative with world-class scientists covering a broad range of expertise in photonics and electronics. Our Harvard collaborators pioneered
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, C. & Rogge, S. Millisecond electron spin coherence time for erbium ions in silicon . arXiv:2307.10021 (2023). [Gritsch2025] Gritsch, A., Ulanowski, A., Pforr, J. & Reiserer, A. Optical single-shot
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start on September 1st 2025 or according to mutual agreement. Further information Further questions about the project should be directed to Luca Laraia, email: luclar@kemi.dtu.dk If you are applying from