60 computational-intelligence Postdoctoral positions at Oak Ridge National Laboratory in Postdoctoral
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high level of scientific productivity Publish scientific papers in key journals and present at key meetings Ensure compliance with environment, safety, health, and quality program requirements Maintain a
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of using existing and emerging grid assets to ensure grid reliability and affordability of energy supplies. The group focuses on advanced grid modeling using advanced computing resources (e.g., quantum
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environment, safety, health, and quality program requirements. Maintain strong dedication to the implementation and perpetuation of values and ethics. Develop strong, productive working relationships across
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, calibration, and application. Experience with computational methods including steady-state modeling, dynamic simulation, computational fluid dynamics (CFD) to support system design and performance optimization
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Requisition Id 16217 Overview: The Multiscale Biomedical Systems Group within the Advanced Computing in Health (ACH) section of the Computational Sciences and Engineering Division (CSED) at Oak
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-Performance Computing (HPC), scientific Artificial Intelligence (AI), and scientific edge computing. We are a leader in computational and computer science, with signature strengths in high-performance computing
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temperatures based on these predictions. The position resides in the Nanomaterials Theory Institute (NTI) within the Theory and Computation Section (TACS) at the Center for Nanophase Materials Sciences (CNMS
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publish scientific results in peer-reviewed journals on time. Ensure compliance with environment, safety, health, and quality program requirements. Maintain strong dedication to the implementation and
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which it will close when a qualified candidate is identified and/or hired. We accept Word (.doc, .docx), Adobe (unsecured .pdf), Rich Text Format (.rtf), and HTML (.htm, .html) up to 5MB in size. Resumes
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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