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Details Title Postdoctoral AI Researcher in AI/ML for Foundation Models, Scientific Applications, and AI Systems School Faculty of Arts and Sciences Department/Area Kempner Institute at Harvard
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applied research on AI-driven and AI-enhanced industrial energy systems optimization modeling, material flow analysis, and supply chain analysis of industrial commodities and critical materials
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) developing and applying advanced human iPSC-derived blood–brain barrier (BBB) models to evaluate next-generation CNS-targeted viral vectors. The successful candidate will use models to assess vector
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Ridge National Laboratory (ORNL) seeks a motivated Postdoctoral Research Associate. This position primarily focuses on large-scale molecular dynamics (MD) simulations and AI-integrated multiscale modeling
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Skip to main content Recruit Home Open Recruitments Postdoctoral Scholar - Agrivoltaics systems analysis and modeling (JPF03056) Postdoctoral Scholar - Agrivoltaics systems analysis and modeling
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National Aeronautics and Space Administration (NASA) | Huntsville, Alabama | United States | 12 days ago
or hydrology for amplifying the state of the art and benefit of NASA Earth Science missions, models, and capabilities for societal benefit- ultimately translating Earth Science to Action. SPoRT focuses on new
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operando experiments under electrical, thermal, or mechanical bias to capture real-time defect dynamics. Integrate multimodal datasets and collaborate with AI/ML teams for data fusion, physics-informed model
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experience and solid expertise in one or more of the following areas: Advanced Process Control and Optimization Digital Twin and Modeling & Simulation Predictive Maintenance and Fault Diagnosis Industrial IoT
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Skip to main content Recruit Home Open Recruitments Postdoctoral Researcher in Applied Fisheries or Environmental Economic Modeling, UCSB, Santa Barbara, CA (JPF03092) Postdoctoral Researcher in
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Position Details Position Information Internal Posting? Posting Number SP005014P Position Title Postdoctoral Research Associate, Statistical and Computational Modeling for Digital Twins Division