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Field
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to the large-scale nature, complexity, and heterogeneity of 6G networks, for their analysis and optimization, we use tools such as artificial intelligence/machine learning, graph theory and graph-signal
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. - Knowledge in programming, data treatment, electron diffraction simulations, mathematical skills, knowledge about machine learning and artificial intelligence is a plus. Website for additional job details
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Postdoc Positions Country Spain Application Deadline 23 Oct 2025 - 23:59 (Europe/Madrid) Type of Contract Temporary Job Status Full-time Hours Per Week 37,5 Offer Starting Date 17 Nov 2025 Is the job funded
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within the Department of Chemistry. The long-reaching scientific endeavor of the Saragovi Lab is to develop and apply a combined computational, Artificial Intelligence (AI) and high throughput experimental
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 21 hours ago
adaptation, environmental degradation, artificial intelligence, inequality reduction, building just societies, conflict resolution, global governance, democratic erosion, health access, and science policy
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: This project is an interdisciplinary effort at the frontier between Biology (Genetics, Genomics), Bioinformatics, Artificial Intelligence (Neural Networks) and Statistics (LMMs). The aim is to join the
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the most important. Our focal subjects: sustainable aerospace, big data and artificial intelligence, bio-inspired engineering and smart instruments and systems. Working at the faculty means working together
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of artificial intelligence, cloud systems, and next-generation communication infrastructures. In this position, you will develop agentic AI solutions that can autonomously configure and deploy 6G and edge-cloud
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the central hypothesis of these infections causing general stress responses and behavioural changes, which can be assessed on metabolic level or by video observation and artificial intelligence analysis
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of the Saragovi Lab is to develop and apply a combined computational, Artificial Intelligence (AI) and high throughput experimental approach to systematically infer protein-semiconductor hierarchies materials and