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Postdoc SafePathways: Cross-Cultural Insights and Co-Designed Concepts for Schoolchildren's Mobility
(national) workshops. You will be part of the Urban Studies Section in the Department of Urbanism at the Faculty of Architecture and the Built Environment. This section has a focus on the interactions between
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Postdoc SafePathways: Cross-Cultural Insights and Co-Designed Concepts for Schoolchildren's Mobility
. Change. Impact! Faculty Architecture & the Built Environment The Faculty of Architecture and the Built Environment has a leading role in education and research worldwide. The driving force behind
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this 3-year research position in our 3D Geoinformation research group, section Urban Data Science, Department of Urbanism, Faculty of Architecture and the Built Environment. You are expected to contribute
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Science, Civil Engineering, Architectural Technology or related fields. Exhibits academic excellence, as demonstrated by their PhD thesis and/or publications in relevant fields. Strong programming experience in
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of communication-based seismic sensing. Our modern “connected world” is built on an immense web of fiber-optic cables linking cities, countries, and continents (see, for example, submarinecablemap.com). Beyond
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success. Requirements You are holding a PhD degree in physics or comparable discipline at the start of the position. You have prior experience in quantum computing, especially in the theory of solid-state
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the intersection of energy transition, circular economy, and sustainable construction production. This position aims to advance innovative solutions that promote sustainability in the built environment, focusing
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following: Designing efficient digital CIM architecture using advanced CMOS nodes Develop system architecture for digital CIM accelerator Develop efficient mapping schemes of AI workloads Identifying
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. The candidate will work on the following: Designing efficient analog CIM architecture using emerging memristive devices Develop system architecture for analog CIM accelerator Develop efficient mapping schemes
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accelerator design for future neuromorphic accelerators. The candidate will work on the following: Designing efficient digital CIM architecture using advanced CMOS nodes Develop system architecture for digital