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scientific results Two or more years of experience with state-of-the-art machine learning methods such as reinforcement learning and Bayesian optimization Experience with operating microscopy platforms
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operations and activities. These activities are designed to detect and neutralize a wide variety of hostile technical surveillance technologies designed to obtain unauthorized access to classified and
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, and other small machines Material handling such as moving heavy furniture and other objects Maintaining roadways including but not limited to patching asphalt Performing minor work in support of other
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) environments within the Cybersecurity Division’s Cyber Enhancements Group. This role is responsible for engineering, operating, and enhancing OT cybersecurity capabilities to improve visibility, detection, and
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detection, and power grid waveform analytics. You will apply methods traditionally used in wireless communications and signal intelligence — including time-frequency analysis, interference modeling, multi
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descent, random forests, etc.) and deep neural network architectures (ResNet and Transformers). Preferred Qualifications: Knowledge of Approximate, Local, Rényi, Bayesian differential privacy, and other
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knowledge of key AI methods such as deep learning, operator learning, and Bayesian optimization, and apply it to develop next-generation surrogate models. This position will enable you to coordinate and
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, and Laboratory Plan’s goals and objectives. Identify, develop, and sustain key relationships with program managers, end users, leadership, and other associated partners and stakeholders. Develop and
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experiments to neutron reflectometry studies. The main objectives are: (1) To implement fluorescence microscopy techniques and Flicker spectroscopy to studies of DIBs under electrical stimulation; (2) Use other
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Mechinical Systems Scopes of Work to meet Project Objectives and provide support to Project Teams as needed to achieve required results, Review Contractor Proposals (Achitectural Engineering and/or