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PROJECT DESCRIPTION Research aims at developing a wind-farm control emulator by coupling large-eddy simulations and aeroelastic turbine models with meso-scale weather models to run realistic wind-farm
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, the demand for advanced optical vision systems has grown significantly. Current state-of-the-art vision systems face three main technological barriers: operation within a limited spectral range, with a limited
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severe speech and hearing impairments, this is a daily reality. Current assistive tools, such as typing text to speech or sign language interpreters, require users to drop whatever they are doing just
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. This may be extended to include potential flow theory based modelling as well. Develop deep learning surrogate models for fast prediction of motions, stresses, and loads Validate the deep learning model
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The successful candidate will join the Climate Physics team at ENS de Lyon (https://climatephysics-ensl.fr/ ), which currently consists of 5 permanent researchers, 7 PhD students and 2 postdoctoral researchers. We
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characterization, monitoring, modeling and management of the freshwater cycle and substance transport in Danish and international contexts. Within current issues, the department contributes with research, advice and
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of average climate measurements, which are then used to control the overall climate setpoints. Awareness of micro-climate insight and fine-grained, model-based control of locally applied ventilation is lacking
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Current University of Arkansas System employees, including student employees and graduate assistants, need to log in to Workday via MyApps.Microsoft.com , then access Find Jobs from the Workday
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to the development of energy models; • to access complementary experimental platforms; • to strengthen Franco-Canadian scientific collaborations. The project also benefits from industrial support through
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, flavour physics, effective field theories, theories beyond the standard model and computer algebra. More details on current research activities can be found on our homepage: https://www.physik.uzh.ch/en