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Field
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compute continuum for 6G RAN open architectures. The Advanced Networking Lab is a member of the Center for Wireless Technology Eindhoven (CWTe) which is part of the Department of Electrical Engineering
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Are you passionate about empowering young adolescents to actively shape urban and mobility policies that reflect their preferences and needs? Are you eager to work in an international and
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Postdoc SafePathways: Cross-Cultural Insights and Co-Designed Concepts for Schoolchildren's Mobility
journals and presenting results at international conferences and (national) workshops. You will be part of the Urban Studies Section in the Department of Urbanism at the Faculty of Architecture and the Built
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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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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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research on topics including, but not limited to: Continual learning, with a focus on novel optimization techniques and memory architectures. Advancing the reasoning capabilities of large language models
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learning, with a focus on novel optimization techniques and memory architectures. Advancing the reasoning capabilities of large language models (LLMs). Developing methods to improve the safety and robustness
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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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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