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Job Description Do you hold a PhD in macro-energy system modelling? Do you want to investigate how small clusters with advanced technologies (renewables, carbon capture, power-to-X) can spearhead
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outputs in lidar technology and real-time wind-field reconstruction. Expert in wind turbine response analysis. HAWC2 user expert. Demonstrated expertise in data analysis and signal processing with large
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, glacier speedup, and ice-ocean interaction. Candidates will work with satellite altimetry, velocity datasets, and climate data to quantify ice sheet mass balance and dynamics. Applicants should hold a PhD
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(lubricants, gear oils etc.) from machinery like wind turbines. When we want to remove oil droplets, we need them to merge (coalesce) as big drops are easy to remove. Surfactants can either promote or hinder
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, which might just be the right project for you. The project is integrated in a large effort financed by the Novo Nordisk Foundation. It is led by the Department of Plant Biology at the University
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Job Description If you dream about helping secure the green energy transition by developing technologies for power and energy system resilience, such as large-scale energy conversion and storage
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of a large, dynamic group. Good communication skills in English, both written and spoken. As a formal qualification, you must hold a PhD degree in physics, nanoscience, or equivalent. We offer DTU is a
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work in close collaboration with a large, interdisciplinary team of quantum scientists, engineers, and biomedical researchers. Your key responsibilities will be to: Conduct research that will bridge
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this project, we will develop neural diffusion techniques to design materials with targeted optical properties, scaling to large systems through efficient representations and GPU parallelization. We will also
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well as abroad. Your primary tasks will be to: Using automotive lidars for detection of wind turbine blade deflection Development of efficient ways to analyze the automotive lidar data Develop the technology to