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well in a fast-paced research environment, set priorities to accomplish multiple tasks within deadlines, and adapt to ever-changing needs. Postdocs: Applicants cannot have received their Ph.D. more than
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Incident Command System (ICS). Deep knowledge of Search and Seizure law. Preferred Qualifications: MA or MS degree in Homeland Security, Law Enforcement/Criminal Justice, Security Studies
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credential to maintain employment. Postdocs: Applicants cannot have received their Ph.D. more than five years prior to the date of application and must complete all degree requirements before starting
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residency requirement, you will be required to obtain a PIV credential to maintain employment. Postdocs: Applicants cannot have received their Ph.D. more than five years prior to the date of application and
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adapt to ever changing needs. Special Requirements: Postdocs: Applicants cannot have received their Ph.D. more than five years prior to the date of application and must complete all degree requirements
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and applied nuclear material safeguards Deep knowledge of MCNP or other Monte Carlo Transport Methods Demonstrated ability to write winning proposals to government agencies in the area of national
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learning solutions that support laboratory-wide training programs and organizational performance initiatives. This position resides in the Instructional Systems Design Group within the Office of Technical
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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