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pumping technologies for future electrified energy systems. We are currently recruiting a PhD candidate at DTU for a project on the multi-physics modelling of bearingless pumps. A parallel PhD position is
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at risk, and translate the complex multi-source data into real-time, evidence-based decisions and clinical applications. The project's overall goal is to establish a unified, end-to-end epidemic
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meltwater storage at regional scale across Greenland. Where feasible, you will also map englacial channels, drainage pathways that connect surface meltwater to the ice sheet bed, and where water input
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to the development of a multi-component framework for reliable and computationally efficient fatigue diagnosis and prognosis of steel structures. Building on the group's established expertise in virtual sensing and
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Two DTU Tenure Track Assistant Professors in Autonomous Modelling and in Robotic Synthesis of Ene...
modelling with atomic, multi-scale, and machine learning approaches to understand complex material. In addition, the ideal candidate for each of the two positions should have the following expertise
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responsible for: Conducting research on sustainable and resource-efficient AI systems for edge datacentres. Creating hardware-aware search spaces for CPUs, GPUs, and accelerators, and developing multi-objective
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offering a 3-year fixed-term position as Associate Professor in Endocrine Physiology and Behavior commencing November 15th, 2026, or as soon as possible thereafter. https://www1.bio.ku.dk/english/research
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/technical solutions to address multiple water challenges at catchment scales Theme 4: Bioaerosol surveillance and integrated early warning systems hosted by The Department of Environmental Science Theme 5
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on electrochemistry, atomic scale and multi-physics modelling, autonomous materials discovery, materials processing, and structural analyses. We also focus on educating engineering students at all levels, ranging from
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multi-scale digital twins for electrical systems, including their interaction with advanced loads such as Power-to-X (P2X) processes. The research will address key challenges related to performance