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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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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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-making as an “asylum lottery”. As AI-supported decision-making becomes embedded in such systems, there is a concern that inherent bias in data will be replicated. To study and mitigate these effects, a new
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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
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at the PhD School of Natural Sciences at Aarhus University. The expected PhD-project will be embedded in a work package that focuses on the design, implementation, and evaluation of AI-enhanced immersive
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neurotechnology. Project Overview This PhD project is embedded in a multidisciplinary initiative that aims to develop a wearable neuromorphic system for brain-signal interpretation and sensor-based feedback