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using a combination of multimodal imaging, computer vision, and lab automation platforms that govern entire workflows (e.g. ThermoFisher momentum software scheduling Hamilton liquid handlers and high-end
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research in the field of machine learning, more specifically, deep learning and representation learning architectures. Application areas of ML include, but are not limited to, computer vision, natural
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experience working with FPGA-based networking platforms/frameworks such as NetFPGA, Corundum, Xilinx OpenNIC, or the ETHZ HLS TCP/IP Stack. Familiarity with Software Defined Networking, SmartNICs, RDMA is an
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