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Business Finland. The project aims to develop energy-efficient neuromorphic computing hardware based on GCMO memristors, with applications in signal processing, AI, and autonomous systems. The positions
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-up development of excellent early- and mid- career stage academics through the provision of three years of funding, enabling them to carry out self-designed research projects. TIAS invites applications
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