81 electrical-power-engineering-"https:" "https:" "https:" Postdoctoral positions at Oak Ridge National Laboratory
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the Building Equipment Research Group in the Buildings and Transportation Science Division in the Energy Science and Technology Directorate at Oak Ridge National Laboratory (ORNL). Major Duties/Responsibilities
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the Energy Systems Integration section, Electrification and Energy Infrastructure Division, Energy Science and Technology Directorate, at Oak Ridge National Laboratory (ORNL). Major Duties/Responsibilities
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advanced manufacturing processes. This position resides in the Deposition Science and Technology Group in the Manufacturing Science Division (MSD), Energy Science and Technology Directorate (ESTD) at Oak
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. To conduct this work, the successful candidate will use the world's first exascale system, Frontier, and collaborate with leading experts in machine learning, optimization, electric grid analytics, and
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Science and Technology Directorate at Oak Ridge National Laboratory (ORNL). Our research team carries out high-quality R&D focused on the development of new, high performance, lower-cost, domestically
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of values and ethics. Collaborate within a multi-disciplinary research environment consisting of experimentalists, computational scientists, and engineers conducting basic and applied research in support of
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respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: A PhD in materials science and engineering, physics, chemistry, electrical engineering, or a
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, electrical engineering, computer engineering, computer science, aerospace engineering, or a closely related field obtained in the last five years. Demonstrated experience developing robotic systems using ROS 2
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Qualifications: A PhD in geosciences, chemistry, materials sciences, material chemistry, chemical engineering or a related field completed within the last 5 years. Experience with synthesis and characterization
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mechanical engineering, material science, electrical engineering, computer engineering, computer science, data science, applied mathematics, or a closely related field Demonstrated experience with multimodal