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detection, scene graph generation. A prospective method is transfer learning which freezes the backbone of the LiDAR-VLM model and fine tunes its output layers to adapt it to a particular task. An important
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to, Algebra, Number Theory, Geometry, Topology, Combinatorics, Graph Theory are encouraged to apply. Responsibilities for these positions include mathematical research, undergraduate and graduate teaching (1+1
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. For more information, please visit the University of Washington Labor Relations website https://hr.uw.edu/labor/academic-and-student-unions/uaw-postdocs/uaw-postdoc-contract We are seeking a creative
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project, we are looking for a strong candidate to contribute to the development of quantum algorithms and applications, focusing on quantum walks and quantum machine learning on graph structures. Your
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solutions, which typically involve data-driven AI approaches, relying on neural networks, reinforcement learning, graph neural networks, etc. In this PhD position, you will build on our expertise in