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, novel waveforms, and protocol stacks—to enable over-the-air experiments, testbeds, and field demonstrations. Our specific focus is on SDR-based capabilities for cyber-physical systems and energy
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, and compliance requirements. Strong aptitude for computer systems, electronic tools, and digital workflows. Ability to learn and adapt to new technologies, including AI-enabled tools used to support
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the infrastructure that underpins the SNS Integrated Control System (ICS). The SNS ICS is a distributed control system based on the Experimental Physics and Industrial Control System (EPICS). It depends on reliable
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. Preferred Qualifications Familiarity with techniques for AI-on-AI adversarial evaluation, including reinforcement learning-based adversarial testing setups. Expertise in designing systems that support red
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agencies and members of the national security community. Abide by all environmental, safety, health and quality requirements and implement practices per ORNL’s Standards-based Management System (SBMS
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learning and artificial intelligence techniques applied toward AI security, biometrics, computational imaging, and energy infrastructures. Major Duties/Responsibilities: Initiate, lead and perform
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of a wide range of equipment, including areas of electronic, pneumatic, and microprocessor-based equipment used to measure and control variables such as flow, level, pressure, temperature, motion, force
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multiple types of sensing modalities, where this expertise is applied to solve critical national problems in energy and security. Demonstrated knowledge of emerging AI and machine learning techniques as
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modeling, machine learning, and automated experimentation. Mentor and support Group Leaders to ensure excellence in research performance, staff development, inclusion, and cross‑disciplinary collaboration
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other documents based on research, technical data, and results in collaboration with researchers and scientists. Suggest visual materials in support of scientific needs and collaborate with graphic