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-inspired computing paradigm with the potential to drastically reduce energy consumption while enabling faster inference than conventional digital architectures. A major challenge, however, is the development
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structural and logical information from complex semiconductor architectures under realistic imaging constraints. Specifically, the researcher will focus on the following three main tasks:(a) Developing deep
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clusters with low power consumption and ultra-low and deterministic latency. The focus of the PhD activity is on demonstrating disruptive new network architectures for AI compute clusters utilizing optical
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the Faculty of Architecture and the Built Environment: Structures and Materials (restructgroup), Building Design & Technology (architectural-facades-products) and Environmental & Climate Design (climate-energy
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been evolving towards architectures inspired by biological neural systems. In particular, neuromorphic photonics aims to develop artificial photonic neurons that process information through sparse, event
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error-correcting codes, establishing fundamental performance limits, and building practical decoding algorithms and architectures. Your research will sit at the interface between the classical and quantum
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information theory: designing and analysing error-correcting codes, establishing fundamental performance limits, and building practical decoding algorithms and architectures. Your research will sit at
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benefits package including pension build-up, paid parental leave and additional holiday bonuses. For more information, see our websites: https://www.universiteitleiden.nl/en/working-at/job-application
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future energy applications. Rather than simply implementing existing data space reference architectures, you will develop novel methods, architectural patterns, and engineering approaches that enable
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passionate about building an entanglement-based quantum internet? In this PhD project, you will design an entanglement source, a routing architecture, protocols, and set up a testbed that distributes and