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Senior R&D Staff - Physics-informed Machine Learning Scientist for Autonomous Self-driving Laborator
Requisition Id 12780 Overview: We are seeking a Machine Learning Scientist who will focus on research and development of new physics-informed machine learning algorithms, as well as writing and
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Requisition Id 12635 Overview: The Advanced Computing in Health Sciences (ACH) section at the Oak Ridge National Laboratory is seeking qualified applicants for a Machine Learning Data Engineer
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to accelerate scientific discoveries and their translation into energy, environment, and security solutions for the nation. We are seeking a Machine Learning Scientist who will focus on research and development
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of education and relevant experience may also be considered. Preferred Qualifications: Experience leading teams and performing research in artificial intelligence / machine learning, specifically
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applying the latest advancements in machine learning, high performance computing, and numerical methods to develop computational tools and models that are used for large-scale, physics-based simulations of a
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Postdoctoral Research Associate - Structural Simulation and Machine Learning (ML) for Polymer Compos
manufacturing technologies through machine learning and physics-based simulations, specifically finite element analysis (FEA) for polymer composites. The candidate will also focus on developing a manufacturing
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) is seeking qualified applicants for a postdoctoral position in machine learning and surrogate models. Areas of interest include graph neural networks, federated learning, data-driven model reduction
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Engineering Division (CSED), at Oak Ridge National Laboratory (ORNL) is seeking a Postdoctoral Research Associate to develop and apply scalable artificial intelligence (AI) / deep learning (DL) methods
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solutions to compelling problems in energy and security. We are seeking an Artificial Intelligence and Machine Learning Research Scientist who will support the Cyber Resilience and Intelligence Division in
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Research Scientist, Multimodal Machine Learning R&D for Population Health Sciences (Hybrid Eligible)
deep learning. Are you looking for a collaborative research and development environment focusing on crafting, implementing, and applying robust and high performance applications for biomedical research