46 parallel-and-distributed-computing research jobs at Technical University of Denmark
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Engineering (ESE) is one of the 10 research section of DTU Compute. Our mission encompasses the creation of insights that allow the development of context-aware, distributed, and embedded cyber-physical
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intelligence within grid-connected power converters and variable-frequency motor drives with edge computing and machine learning capabilities. We offer a multidisciplinary, international, and friendly atmosphere
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with Bioneer, DTU Bioengineering, DTU Health Tech, and KU, DTU Compute is aiming to create a shared data framework and platform to pioneering models and methods with applications to stems cells
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of circumstances under which university scientific advice is given to private companies; A background within scientific computing, using tools such as R, Julia or Python; Knowledge of using data science in relation
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for effective system-level integration. In parallel, SOEC cells are inherently sensitive to impurities originating from feed gases, system components, or cell materials, which can interact with electrodes and
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, distributed systems. Experience in DevOps tools, including but not limited to Docker, Kubernetes, building CI/CD pipelines Experience in language modeling research and LLMOps, including but not limited to LLM
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being scientific staff, including about 50 PhD students. More than 35 nationalities are represented at the Institute, and we support an equal gender distribution. We are located in Lyngby, Hirtshals
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an equal gender distribution. We are located in Lyngby, Hirtshals, Nykøbing Mors, and Silkeborg and have regular activities in Greenland. Learn more on aqua.dtu.dk Technology for people DTU develops