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models, it explores the propagation and amplification of monetary, fiscal, and technological shocks in economies viewed as evolving distributions of heterogeneous agents. Where to apply Website https
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reinforcement-learning algorithms into a structural model of credit supply and demand, we assess how AI pricing tools alter equilibrium prices, credit allocation, and risk exposure. Second, we analyze online
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algorithmic agents, the research explores how automation, predictive modeling, and generative intelligence transform sensemaking, decision-making, and adaptive capabilities. The goal is to develop a framework
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algorithms for exploratory network analysis. Our methodology focuses on robust heterogeneous graph analytics, designing temporal/dynamic data structures for motif extraction and data stream clustering
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the context of the eDeTox project” - The Computer Science postdoc will assist the team in crawling large datasets, which will then be analyzed using computational methods. A key methodological contribution is
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ICTP, Trieste, HECAP Position ID: ICTP, Trieste-HECAP-POSTDOC [#31102] Position Title: Position Type: Postdoctoral Position Location: Trieste, Friuli-Venezia Giulia 34151, Italy [map ] Subject Areas
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Profile Established Researcher (R3) Positions Postdoc Positions Country Italy Application Deadline 19 Nov 2025 - 12:00 (Europe/Rome) Type of Contract Permanent Job Status Full-time Is the job funded through
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7 Nov 2025 Job Information Organisation/Company AREA Science Park Research Field Other Researcher Profile Established Researcher (R3) Positions Postdoc Positions Country Italy Application Deadline
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a technological infrastructure capable of efficiently integrating edge devices, AI algorithm pipelines for behavioral and postural analysis, and cloud services for centralized data, notification, and
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a technological infrastructure capable of efficiently integrating edge devices, AI algorithm pipelines for behavioral and postural analysis, and cloud services for centralized data, notification, and