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the relevant union. The period of employment is 2 years. The start date is 1 January 2026 or after agreement. You can read more about career paths at DTU here . Further information Further information may be
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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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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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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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computer architecture. Responsibilities and qualifications You are expected to conduct independent research in collaboration with and under the guidance of experienced colleagues. Additionally, you will be
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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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agreement). The position is a full-time position. You can read more about career paths at DTU here . Further information Further information may be obtained from Associate Professor Marta Victoria (mvipe
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information If you would like additional information about the position, please contact Head of Section, David Verelst on +45 46 77 40 26 or dave@dtu.dk . You can read more about DTU Wind and Energy Systems
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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
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January 2026 or as soon as possible thereafter. The position is a full-time position. You can read more about career paths at DTU here . Further information Further information may be obtained from Senior