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approaches to irradiation and post irradiation examination. Work with a diverse team of experts in modeling, property measurement, irradiation design, post irradiation examination, and other relevant areas
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standards. Working knowledge of structural finite element modeling programs (STADD, GT STRUDL, etc.) Familiar with the following DOE order and standards: DOE O 420.1C – Facility Safety DOE-STD-1020 – Natural
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material efficiency and reduce waste. Design and conduct experiments to validate AI models for manufacturing applications such as manufacturing parameter optimization, quality or defect prediction, and in
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communication skills including verbal, presentation, and writing skills are required. The successful candidate will interface with principal investigators, management, engineers, fabricators, modelers, and test
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verbal, presentation, and writing skills are required. The successful candidate will interface with principal investigators, management, engineers, fabricators, modelers, and test campaign personnel
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learning including reinforcement learning, nature inspired algorithms, deep learning, agent based modeling, and natural language processing. We are specifically interested in research focused
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, to identify and accelerate technological and policy options. Activities will involve: 1) data collection, processing, and quality assurance; 2) development and simulation of energy system models, data science
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Motor Researcher for the Mechanical Systems Modeling (MSM) Group. The Senior Electric Motor Researcher will perform analysis on electric motors and motor drive systems for gas centrifuges. In addition
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. Construct machine-learning models for feature-based molecular property prediction and drive the inverse design of ligands with engineered properties. Develop machine-learned interatomic potentials trained
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models are heavily centered on Microsoft Azure and related AI cloud technologies with High Performance Computing (HPC) for on premise AI environments and Azure, AWS, and GCP for off premise environments