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our education, while benefitting them with our talent supply and collaborative research achievements. The University’s unique applied learning pedagogy integrates work and study, embedding authentic
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ternary neural networks using FPGA devices. The successful candidate will have significant experience in machine learning, FPGA design and an outstanding track record in conducting machine learning research
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inclusiveness. This is why we warmly encourage qualified candidates from all backgrounds to join our community. Postdoctoral Researcher in Computational Design for Climate-Adaptive Urbanism School of Arts, Design