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Job Description We invite applications for a 3 year postdoctoral position to study ice sheet dynamics using remote sensing data. The postdoctoral position is a part of The Center for Ice-Sheet and
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on establishing a foodborne disease surveillance system in Ethiopia, while also supporting other research activities in the group, such as applying genetic data to health impact assessments. Responsibilities and
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. As an employee in the Turbine Response section, you are expected to be fluent in aeroelastic simulations, data science and analytics and have a solid knowledge of turbulence-turbine interactions
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. Expertise in some of the following areas is expected: Expertise in quantum information processing, quantum optics, or related fields. Strong experimental skills and solid theoretical understanding of quantum
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data at both the action potential and local field potential levels. As a formal qualification, you must hold a PhD degree (or equivalent). We offer DTU is a leading technical university globally
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interest in information processing in humans and computers, and a particular focus on the signals they exchange, and the opportunities these signals offer for modelling and engineering of cognitive systems
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adjustment and plate tectonics. The analysis will encompass both network wide and local analysis using data from Greenland GNSS Network (GNET). You will target specific regions where there can be an unresolved
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create multi-fidelity predictive models that integrate data from quantum simulations and experiments, using techniques such as equivariant graph neural networks with tensor embeddings. We aim to train
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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