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Field
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entities, such as robots, vehicles, or sensors, forms internal representations of space, time, and motion when interacting in complex non-stationary environments. The objective is to study and develop models
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., drag schemes, mesh resolution, feature representation); document improvements and limitations. Collaboration, mentoring, and dissemination. Collaborate with DOE E3SM, ICoM, and InteRFACE, projects as
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with statistical evaluation methods. • Familiarity with AI technologies. • Knowledge of packaging performance testing standards. • Experience with fiber material properties, orthotropic material modeling
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-learning IT skills Excellent knowledge of English (C1) / Team player and high social/communicative skills What we offer: Work-life balance: Our employees enjoy flexible working hours, remote/hybrid and/or
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knowledge representation • Agent-based and simulation modeling • AI/ML, foundation models, causal inference, and predictive analytics • Human factors, behavior science, and patient-centered design • Advanced
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 14 hours ago
, foster a stimulating research environment and advance knowledge within their fields. Postdocs are crucial members of our scientific research workforce, contributors to our research outputs and an important
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methods, knowledge-graph and ontology-based scientific data infrastructures, and agentic workflows for autonomous hypothesis generation, mechanistic exploration, and design of catalytic systems. Candidates
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their language of research and in English. Knowledge of other languages, including French and Haitian Kreyol will be considered an asset. Be part of a research team consisting of the PI and the other postdoc
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techniques (e.g., SEM, XPS, ICP, XRD, TEM, or similar) evidenced by data collection or analysis in publications/reports. • Knowledge of corrosion science, demonstrated by coursework, thesis/dissertation
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stylized quantitative representations of political and institutional processes, and then incorporate them into (or couple with) global and subnational energy models to study core policy questions related