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Engineer will conduct R&D in nuclear nonproliferation with expertise in computational nuclear reactor physics through modeling and simulation (M&S). The candidate will perform analysis and methods
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outcomes in peer-reviewed journals in a timely manner. Ensure compliance with environment, safety, health, and quality program requirements. Maintain strong dedication to the implementation and perpetuation
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Postdoctoral Research Associate- AI/ML Accelerated Theory Modeling & Simulation for Microelectronics
that can incorporate multi-scale computational simulations to aid with data fusion across multiple modalities of experiments with the final goal of discovering novel materials phenomena or even new materials
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at the Large Hadron Collider (LHC). The successful candidate will contribute to a broad research program that includes physics analysis, detector performance studies, experiment operations, and upgrade
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-Direct the Responsible Conduct of Research (RCR) Program for postdocs Partner with the Center for Bioethics to deliver the RCR Program. Teach RCR sessions using cutting edge pedagogical techniques
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. Publication record and a curriculum vitae that demonstrates all of the above preferred qualifications. Department/Program & College Description: Would you like to work for a National Laboratory that conducts
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educational level and experience. Citizenship Requirements: This opportunity is available to U.S. citizens only. ORISE Information: This program, administered by ORAU through its contract with the U.S
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Laboratory at Stanford University is seeking a highly motivated postdoctoral scholar to join our interdisciplinary team working at the intersection of liquid biopsy, cancer genomics, and computational biology
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models (rodent handling/surgery experience a plus). ● Familiarity with quantitative/computational approaches (e.g., R, Python, image analysis, statistics) is a plus but not required. ● Ability
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computational foundations of that capability and help bridge the gap between Bayes theory and practical application: knowledge integration, developing robust likelihood frameworks, sampler behavior for long