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neuromorphic platforms. FPGA / Hardware-Embedded AI: Deployment of SNNs to FPGA-based neuromorphic hardware (e.g., NeuroSpike/NeuroSpark). RTL generation using HLS workflows and evaluation of resource usage
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for the manufacturing of next generation materials for different potential market applications to evaluate the life cycle economic, energy, and environmental impacts. The focus of these analyses is to understand
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industrial imaging data. You will directly contribute to developing and deploying algorithms for multi-modal tomography (X-ray, neutron, and electron), advancing methods for non-destructive evaluation (NDE
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the development of AI architecture for holistic genomic photosynthesis modeling. Evaluate performances of AI genomic photosynthesis models. Report advances to program management and broader scientific communities