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Field
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specifically on developing machine learning-based surrogates and emulators for the dynamics of power grids. This role involves creating advanced probabilistic models that capture the complex behaviors
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and technologies, and in advancing data-driven risk monitoring approaches for supply chain resilience. The candidate will conduct comprehensive supply chain mapping, modeling, and analysis—integrating
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areas in data science and engineering systems. Required Knowledge, Skills, and Abilities Demonstrated expertise in computational sciences and numerical modeling. Demonstrated expertise in machine learning
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Position Summary This position will focus on integrating high-resolution field monitoring, remote sensing, and statistical and numerical modeling approaches to improve predictive flood hazard
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modeling, control, and optimization of power and energy systems with applications to maritime and coastal infrastructures (e.g., shipboard microgrids, port facilities, islanded communities, desalination
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the atmosphere and understand transport pathways by combining observations of PFAS in precipitation from the National Atmospheric Deposition Program with atmospheric modeling techniques. This position primarily
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10 Oct 2025 Job Information Organisation/Company Max Planck Institute for Psycholinguistics Research Field Computer science » Programming Computer science » 3 D modelling Researcher Profile
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big data and AI at its core. A central goal of the project is to build a foundation model of the visual brain—a “digital twin” that captures neural activity and intelligent behavior at unprecedented
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, oral and written communication skills, and ability to interact with people at all levels both within and outside the laboratory. Ability to model Argonne’s core values of impact, safety, respect
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initiatives . In the Pharmacology & Physiology Department, this role will focus on the behavioral and electrophysiological basis of autonomic dysfunction in animal models of opioid induced respiratory