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vacancy for a postdoctoral researcher in Data Science and Artificial Intelligence. In this position you will develop advanced computational methods for the analysis of large-scale multimodal cardiovascular
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networks, with a focus on large-scale European energy infrastructures Assess interactions between power, gas, and sector-coupled energy systems, with a focus on operational flexibility, cross-sector
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Postdoctoral Position in Computational Humanities to Research the Macroevolution of European Literat
Max Planck Institute for Empirical Aesthetics (MPIEA) | Frankfurt am Main, Hessen | Germany | 3 months ago, representing these influences through dynamic networks and directed graphs, and creating effective visualizations of large-scale literary networks. Using these inferred connections and networks, we will tackle
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for training large-scale cryoSTEM foundation models. Project Leadership: Manage complex research sub-projects and ensure research milestones are met. Mentorship: Guide and mentor graduate students and junior
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used to improve the operation of cryoSTEM microscopes when applied to biological samples. Parallel Model Training: Deploy parallel computing systems for training large-scale cryoSTEM foundation models
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relevant PhD/DPhil in socio-legal studies, political science, sociology, human rights, or a related field together with relevant experience; experience in managing large-scale data collection projects and
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Organization U.S. Department of Agriculture (USDA) Reference Code USDA-ARS-PA-2026-0319 How to Apply To submit your application, scroll to the bottom of this opportunity and click APPLY. A complete
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results in scientific journals and present research at international conferences Gain experience in large-scale research infrastructure and beamline operations Play a leading role in shaping
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impactful scientific projects and manuscripts. The successful candidate will contribute to multi-center projects that integrate population science, molecular epidemiology, and large-scale cohort analysis
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In polymeric materials, a fundamental transition is required from synthesis out of fossil-based and one time use to continuous reuse of polymeric products. Current recycling methods cannot recover