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Job Description We invite applications for a fully funded 3-year PhD position in the Embedded Systems Engineering (ESE) research section at DTU Compute in collaboration with the Technical
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and interpreting their outputs Experience generating and using protein embeddings Solid understanding of genomics and molecular biology Knowledge of bacterial secondary metabolism would be a major
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working with “DTU Smart Road,” a full-scale pavement research platform at DTU’s main campus that hosts embedded strain and temperature sensors. Experiments will also involve the development and installation
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communication Compression of quantum data under unreliable entanglement assistance Joint compression and error correction for robust communication in the quantum-classical internet Quantum embeddings for machine
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Senior Researcher in Synthetic Biology and Metabolic Engineering of power-to-X utilizing Microorg...
-to-X (P2X) feedstocks derived from renewable electricity. This position is embedded within the vibrant research environment of DTU Biosustain, which features cutting-edge infrastructure—including our
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for the position. The time-predictable computer architecture group, where you will be embedded, researches computer architecture, network-on-chip, and memory systems for real-time systems. We also research
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sources with embedded quantum memories based on erbium in ultracompact tunable silicon nanocavities. You will be part of a well-funded project that builds on our recent experimental breakthroughs in ultra
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on conventional computing platforms such as GPUs, CPUs and TPUs. As language models become essential tools in society, there is a critical need to optimize their inference for edge and embedded systems