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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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services across multiple companies and authorities, thus supporting large virtual enterprises necessary for the development and operation of large-scale enterprises, such as critical infrastructures
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fracture processes at micro and meso scales influence the structural response at an engineering scale, and to use this insight to support the design of damage tolerant composite structures. You will be
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of cardiometabolic health and accelerate its translation into prevention and treatment strategies. The Center’s uniquely multi- and interdisciplinary approach combines research in genetics, physiology and
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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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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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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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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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will include: Performing in-depth analyses of mass spectrometry-based proteomics data Leading data analysis across diverse projects, including: Large-scale cardiac tissue proteomics from patient cohorts
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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