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at the University of Arizona is seeking a postdoctoral research associate to develop theoretical and computational approaches for understanding how biological neural networks organize activity through nonlinear
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research with Professors Mario D. Molina, Minsu Park, and Blaine Robbins. We seek candidates with research interests and expertise in social networks, group or organizational dynamics, and computational
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GESIS - Leibniz Institut für Sozialwissenschaften | Mannheim, Baden W rttemberg | Germany | 3 days ago
Framework Programme? Not funded by a EU programme Reference Number DRS-57 Is the Job related to staff position within a Research Infrastructure? No Offer Description GESIS – Leibniz-Institute for the Social
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the Social Benefits Fund (for holidays and Christmas). We kindly inform you that the controller of your personal data is Network Institute operating under the name of Łukasiewicz Research Network – PORT Polish
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Max Planck Institute for Gravitational Physics, Potsdam-Golm | Potsdam, Brandenburg | Germany | about 7 hours ago
directly to [email protected] ). The deadline for the full consideration is December 13th, 2026. The positions will be available from September 1st 2027. The salary and social benefits (e.g., health
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, higher-order network methods and large-scale language-model training on a knowledge graph of scientific publications, patents and related innovation data. The appointed researcher will lead DII's
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future. Fueled by curiosity and a deep sense of duty, they contribute invaluable insights to research and teaching, enriching our society. Are you inspired and driven by the desire to make a meaningful
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to the ELLIS network. Your work will benefit from interactions with computational, biological, and clinical groups across the institute, alongside opportunities for international collaboration, research
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Mediterranean NBS Community of Practice as a Social Innovation Network”. Building on insights from earlier translocal social innovation research (TRANSIT, URBANA, ARTS), the postdoc will kickstart and facilitate
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Innovation Network center SWE-WIN, which aim to advance resilient, robust, and energy-efficient wireless networks capable of supporting emerging services. The research focuses on resource management and