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Field
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acquaintance or social interaction, transportation systems and biological interactions. These systems are represented as networks. A network is a set of objects that are connected to each other in some fashion
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configurations without requiring retraining from scratch, while maintaining robustness to changes in node order and network topologies. The position offers an exciting opportunity to engage in cutting-edge
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Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | about 1 hour ago
qualified Post-Docs interested in Computational Social Science. This application call is targeted to the broad topic of artificial intelligence, computing, and society. Research Themes and Teams The Network
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evaluation of advanced applications for network benchmarking, road hazard warning, and pseudo-remote driving supported by computer vision, while also supporting the broader research and integration activities
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communication (SatCom) systems that can handle networks of varying sizes and configurations without requiring retraining from scratch, while maintaining robustness to changes in node order and network topologies
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and the Postdoctoral Research Topic The Gendhi project aims to understand how social relations of domination interact to account for social inequalities in health, from early childhood through adulthood
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of investigating the nature of work, redefining our relationship with technology, and exploring how institutions can adapt to foster livability, sustainability, innovation, and social welfare. Successful applicants
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interdisciplinary, and together we contribute to science and society. Your role The selected candidate will develop a computational platform to identify hierarchical combinations of cell fate conversion factors
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Max Planck Institute for Political and Social Science, Göttingen | Gottingen, Niedersachsen | Germany | 11 days ago
Job Code: ITC20260324 Job Offer from March 24, 2026 The Max Planck Institute for Political and Social Science in Göttingen conducts interdisciplinary research into pressing issues of social and
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implement and train neural network architectures, including Physics-Informed Neural Networks (PINNs), in order to integrate physical constraints into the learning process and improve the identification and