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Computational Neuroscience and AI (CNAI), led by Professor Alexander Mathis, is seeking two postdoctoral fellows to join our team working at the intersection of artificial intelligence and neuroscience. Our
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than 18,500 people, including over 14,000 students and 4,000 researchers from more than 120 different countries. Postdoc position in 3D Computer Vision, remote sensing ... The Laboratory of Visual Intelligence
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than 18,500 people, including over 14,000 students and 4,000 researchers from more than 120 different countries. Postdoctoral Position in Computational Genomics, Machine Learning & Single-Cell Biology Mission
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extensions, and scalable verification via symbolic automata and related decision procedures Routing algebras: composable, algebraic representations of distributed routing protocols, as a principled basis for
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and in computer architecture domains, our ability to analyze data still falls behind the unstoppable data collection rates. Data-intensive applications are increasingly more demanding in sophisticated
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. Scalable AI training: distributed training, efficient fine-tuning, evaluation, and deployment on large-scale compute. Multimodal learning: representation learning and generative modeling across heterogeneous
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pages) And in one PDF: A CV with a publication list Contact details of 3 references For any further information, please contact Professor Georg Fantner at [email protected] Start date : By mutual
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tumor evolution requires integrating both genetic and non-genetic mechanisms. Thus, our research begins with the functional characterization of cancer-associated genomic alterations to determine how they
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and associated environmental impacts. Contribute to short-term (2026 to 2030) and long-term (2030 to 2050) verticalisation forecasting models based on machine learning, and to their validation against
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material supply-chains. Develop comprehensive digital assessment methods to evaluate whole-life material flows and their associated impact across sectors to inform policy and practice. Engineer whole-life