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for using AI to develop social engineering attempts. This project combines human subject research of learning and decision making, Human-Computer Interaction, and the advancement in AI methods
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the running infrastructures. Using cutting-edge computer vision, wearable sensors, and citizen science, RUN2GETHER will capture large-scale, real-world data during running events and group runs. These data will
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cutting-edge computer vision, wearable sensors, and citizen science, RUN2GETHER will capture large-scale, real-world data during running events and group runs. These data will advance our understanding
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of underlying 3D scene representations. This requires the designing and developing of specialized computer-generated hologram (CGH) algorithms, modeling the propagation of incoherent light through space
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, or pharmaceutical research. However, for many real-world applications, finding a solution requires powerful computer clusters that consume a lot of energy and run for long periods. Our project aims to create a
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degree in one of the following domains: mechanical engineering or related fields Experience in computational mechanics of materials and structures An interest in computer simulations, testing, and