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+ institute and a founding member of BRAINS, the Centre for Brain-Inspired Computing at the University of Twente. About the organisation The Faculty of Science & Technology (Technische Natuurwetenschappen, TNW
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. The HUM.AI.N-ACCENT project aims to fill this gap by combining insights from cognitive psychology, neuroscience, AI engineering, human-computer interaction, and social science, with lifespan perspectives. Using
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addition, Coming to Delft Service organises events to help you settle in the Netherlands, and expand your (social) network in Delft. A Dual Career Programme is available, to support your accompanying
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learning, image analysis, and advanced computing to study relationships between structure and function. Keywords: Human Brain, 3D Atlas, Deep Learning, Temporal Lobe, Brain Function Entry Requirements
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emphasize technology as a solution for journalism’s struggles. In doing so, they have also limited the directions in which journalism could actually develop, and elided critical reflections on the complex
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mechanisms and dynamics Chemistry » Solar chemistry Chemistry » Structural chemistry Chemistry » Computational chemistry Engineering » Chemical engineering Engineering » Materials engineering Physics
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26 Aug 2025 Job Information Organisation/Company Technical University Of Denmark Department DTU management Research Field Engineering Economics Researcher Profile First Stage Researcher (R1
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in the doctoral program of Agricultural, Environmental and Food Science and Technology. The monthly gross salary will be composed by: Living allowance: € 3,821.53 mobility allowance (€710/month), and
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Why apply? Generative AI and large-language models (LLMs) are about to turn computer-aided engineering into true human–AI co-design. In the new MSCA Doctoral Network GenAIDE we team up with Honda
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Inria, the French national research institute for the digital sciences | Villeurbanne, Rhone Alpes | France | 3 days ago
, 3], significant challenges related to running complex AI algorithms such as Deep Neural Network (DNN) inference on lightweight platforms with limited computational power and relying on potentially