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PhD fellowship in fault tolerant quantum algorithms PhD Project in state preparation, observable extraction or noise modelling Niels Bohr Institute Faculty of Science University of Copenhagen
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Department of Hydrology at GEUS, you will setup and apply integrated hydrological models that include both groundwater and surface water systems and develop hybrid models that combine our National Hydrological
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. The position is anchored at BUILD and contributes to the department’s research on how the renovation, transformation, and continued use of the existing building stock can support a transition towards a built
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-resolution drought prediction system. The topic of this PhD position is the monitoring and prediction of droughts on national scale. The PhD student will develop a novel model-based drought index combination
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to molecular hydration. The student will develop experimental methodologies and combine these with state-of-the-art characterization techniques, including Magnetic Resonance Imaging (MRI), Nuclear Magnetic
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Technologies (Ireland); and a network-wide training program. Responsibilities and qualifications The PhD scholarship is on the topic of “Carbon-Aware Neural Architecture Search (NAS)”. Most AI models are built
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investigate the use of visible, near-infrared, and short-wave infrared hyperspectral systems to improve forensic investigations and support evidence interpretation in both laboratory and field environments
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SPARK project, starting in September 2026 or soon hereafter. The 3-year project is funded by the EU’s Horizon Europe flagship programme to develop and pilot Stillstrom’s Offshore Power Zone infrastructure
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develop computational and structure-guided approaches to understand immune recognition and design next-generation vaccines against respiratory pathogens. Our work integrates computational protein design
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University, Aarhus University , Nanyang Technological University, and Grundfos company. The energy demand for cooling is growing faster than any other end use in the building sector, having more than tripled