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Field
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phototrophic endosymbionts have played central roles in the radiation of complex life and are critical to global nutrient cycles. Yet, global change is pushing these symbioses and the ecosystems they support to
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of Sociology at Duke University invites applicants for a Postdoctoral Associate with expertise in economic sociology, immmigration, organizations, network analysis, or inequality broadly defined. In
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advances in our group, including new methods for detecting learning signals in linear networks that reveal aspects of the tasks they have learned, provide a powerful conceptual starting point. The scope
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networks for Chinese older adults with dementia. Responsibilities: Conduct literature review for the Principal Investigator; Work with the Principal Investigator in data collection for the project; Perform
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Postdoctoral Appointee - Uncertainty Quantification and Modeling of Large-Scale Dynamics in Networks
modeling of large-scale dynamics in networks. This role involves creating large scale models of dynamic phenomena in electrical power networks and quantifying the risk of rare events to mitigate
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-driven frameworks for multi-scale modeling, multi-objective optimization, and predictive control of complex chemical and biochemical processes. The research will contribute to next-generation smart
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interaction with neuronal networks underlying memory storage and retrieval. For this, you will execute stereotactic surgeries to deliver viral vectors to specific brain regions implicated in memory. Furthermore
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, geolocation and AI-enabled communication and networking systems. In these roles you will undertake research centered on the intersection of networking, communications, geospatial methods and machine learning
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of large-scale infrastructure and organisational complexity. This research stream goes beyond solving isolated engineering problems. It seeks to establish a new generation of AI-powered frameworks
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Postdoctoral Researcher in Natural Language Processing and Digital Humanities (18 months, full-time)
Latin intellectual traditions. The project combines intellectual history with computational text analysis to examine large, historically complex corpora spanning multiple centuries and languages. The core