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. Experience with developing machine-learning surrogates for structure-property relationship, generative AI models, material representations, machine learning force-fields (especially extensions to spinful
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budgeting, tracking, forecasting. Capable of advanced Excel and SAP queries. Training and/or certification in project management. Ability to learn new software skills effectively (PowerBI, RESolution
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machine learning and Bayesian calibration methods to enable multi-scale, multi-physics model development. Complete simulation verification, model validation, uncertainty quantification, and documentation
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) Minimum of 7 years of clinical experience Within 90 days acquire Advanced Cardiac Life Support and Advanced Trauma Life Support Training with passing scores Maintain all appropriate certifications, CME
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scientific domain and knowledge of high performance and quantum computing and scalable data analytics and/or deep learning Preferred Qualifications: Qualified candidates should have demonstrated management
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Research Associate to develop, scale, and apply artificial intelligence (AI) and deep learning (DL) models for power grid systems. The successful candidate will contribute to scalable AI workflows for grid
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Requisition Id 16802 Overview: We are seeking a Postdoctoral Research Associate for the development and application of advanced multiphysics simulations, and machine learning (ML) methods relevant
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ability to acquire new knowledge and learn new skills. Demonstrated interpersonal, verbal and written communication skills. Ability to develop plans to address complex problems, be proactive, work
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of critical infrastructure systems through AI-enabled decision support, intelligent data agents, retrieval-augmented generation, and scalable machine learning systems. This position offers a unique opportunity
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researcher to join the Workflow Systems Group and help advance the use of AI in scientific discovery. This position centers on scientific machine learning, automated AI/ML optimization, and high-performance