126 learning-"https:"-"https:"-"https:"-"https:"-"https:" "https:" positions at Oak Ridge National Laboratory
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. Design, implement, and experimentally validate advanced learning and control strategies for power electronic converters and grid-interactive systems. Develop embedded control algorithms using DSP, FPGA
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, machine learning, mobile robotics, process control, sensor processing, machine vision, and/or human machine interaction. This position will require working with external partners, corporations, and sponsors
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through data-driven modeling and optimization. The successful candidate will work at the intersection of thermal-fluid sciences, control theory, and artificial intelligence/machine learning to advance
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priorities and dependencies across projects; and ensures key deliverables are achieved safely, on schedule, within scope, and within budget. The position directs knowledge-transfer and organizational-learning
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machine learning algorithms. This position resides in the Manufacturing Systems Analytics (MSA) Group in the Manufacturing Science Division (MSD), Energy Science and Technology Directorate (ESTD), at Oak
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thinking, strategic planning and execution skills. Must be able to learn ORNL financial and procurement systems and use them at an expert level. Ability to function well in a fast-paced research environment
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experience leading diverse teams. Must be able to learn at a high level the technical area that is supported. Project management skills and experience, plus significant knowledge of project planning tools with
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on data and mission. Ability to track and deliver on a wide variety of customer needs, both technical and non-technical. Eagerness to learn new technology and the ability to translate that into relevant
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machine learning algorithms. This position resides in the Manufacturing Systems Analytics (MSA) Group in the Manufacturing Science Division (MSD), Energy Science and Technology Directorate (ESTD), at Oak
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machine learning algorithms. This position resides in the Manufacturing Systems Analytics (MSA) Group in the Manufacturing Science Division (MSD), Energy Science and Technology Directorate (ESTD), at Oak