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Our research team invites applications for a fully-funded PhD position at the intersection of reconfigurable computing, accelerators, and simulation tools. This position aims to investigate
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provide a performance or efficiency advantage, and determine scenarios where conventional AI accelerators (such as embedded GPUs or FPGA-based accelerators) remain more appropriate due to data
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