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Are you interested in making the processes for building machine learning models more transparent and explainable? Would you like to work in interdisciplinary teams to uncover the needs of clinical
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you passionate about brain-inspired AI and sustainable tech? As a PhD Candidate, you will design real-time FPGA-based systems that mimic neural processes, enabling intelligent, on-chip learning for edge
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consumption, create energy labels for algorithm scalability, and guide implementers in choosing more efficient algorithms. Ready to make AI more sustainable? Apply now! The goal of your PhD project is to
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efficiency of an algorithm that is run on an architecture/accelerator. To make testing multiple architectures easier, you will leverage our existing approach to generate code from a single source code for
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20 Feb 2025 Job Information Organisation/Company Radboud University Research Field Architecture » Other Environmental science » Earth science Sociology » Urban sociology Researcher Profile First