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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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Postdoc SafePathways: Cross-Cultural Insights and Co-Designed Concepts for Schoolchildren's Mobility
essential. A PhD degree in one or more of the following disciplines: urbanism, architecture, urban studies, urban planning, human geography, transport studies, or a related discipline. A strong interest in
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Postdoc SafePathways: Cross-Cultural Insights and Co-Designed Concepts for Schoolchildren's Mobility
Verbal and written working proficiency in Dutch and English is essential. A PhD degree in one or more of the following disciplines: urbanism, architecture, urban studies, urban planning, human geography
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Are you fascinated by a future where generative AI models fully comply with the specifications and the requirements of the systems that use them? We are excited to offer a postdoc position, which is
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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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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you fascinated by a future where generative AI models fully comply with the specifications and the
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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 reliability failure mechanisms of digital CIM architectures. Developing solutions to address the reliability issues. The PostDoc position is part of the CONVOLVE, a multi-partner European project involving
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of AI workloads Identifying the non-ideality issues of analog CIM architectures. Developing solutions to address the non-ideality issues. The PostDoc position is part of the SNS (self-healing Neuromorphic
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this position, an ideal candidate should have: Completed a relevant PhD degree in Electrical Engineering, Computer Engineering, or any other related field relevant to the research; Good understanding of digital