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) concerning turn-key on-board hardware data handling solutions, with an emphasis on: platform and payload data handling architectures and their building blocks (equipment/units, modules and key components
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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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Novel Broadband (Visible-to-Shortwave Infrared) CMOS Image Sensor Pixel Architectures Job description The Image Sensor Group in the EIectronic Instrumentation Lab is looking for a postdoctoral
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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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Architecture chair (UUA). The UUA chair has developed extensive and structural collaborations with stake- and shareholders in the metropolitan region of Eindhoven to work on fundamental societal challenges
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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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of surrogate model architectures for complex industrial systems: the generative component proposes models based on natural language specifications, while the symbolic component ensures compliance with system
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. Methodologically, you will explore advanced deep learning approaches, including convolutional and transformer-based architectures, as well as methods for modeling temporal dynamics in longitudinal imaging and omics