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Field
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for Artificial Intelligence are set to launch in the fall of 2025. These centers will foster interdisciplinary collaboration among researchers to address societal challenges, understand the impact of AI, develop
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academia. This PhD fellowship is part of the newly established AI Centre for the Empowerment of Human Learning (AI LEARN) .Six national research centers for Artificial Intelligence are set to launch in
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EU MSCA doctoral (PhD) position in Materials Engineering with focus on mechanistic study of biodegra
development is closely accompanied by modelling approaches and artificial intelligence methods. Interested? Please submit your application indicating the reference number code no. 2025/MO 3 by December 31st
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Max Planck Institute for Intelligent Systems, Tübingen site, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | 13 days ago
fundamental research across computational, physical, and social dimensions, we shape artificial intelligence and robotics to advance knowledge and benefit society. The Optics & Sensing Laboratory (OSLab
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those related to climate change, inequality, the onset of artificial intelligence or geopolitical conflict – are ultimately addressed and coordinated through organizations. The study of organizations is
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of the Data and Artificial Intelligence unit at the Department of Computer Science. About the project The position is funded by the Norwegian Research Center for AI Innovation - NorwAI - and will be based
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artificial intelligence over the next five years (regjeringen.no ) (in Norwegian). Your immediate leader will be the leader of the Software Engineering unit. About the project This PhD fellowship is part of
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of external conditions. Recent work has demonstrated the strong potential of combining Internet of Things (IoT) devices with artificial intelligence in the cloud, but to date no solution has proposed embedding
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Requirements Master’s degree (≥4 years) in Computer Science, Informatics, Engineering, Mathematics, Physics or equivalent; PhD in Computer Vision, Artificial Intelligence, Machine Learning, and Data Science, or
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are particularly suitable for a PhD education. You must meet the requirements for admission to the faculty's Doctoral Programme. You must have a good understanding of artificial intelligence (AI