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testing Develop and evaluate models in machine learning and reinforcement learning Publish papers in top robotics and AI conferences and journals Collect and process data from human experiments and sensor
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Sonmez Turan [email protected] 301.975.4391 Description NIST standardized cryptographic algorithms are intended to be "bulletproof". That is, the computational complexity needed to break them is
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Requisition Id 16760 Overview: We are seeking an Applied Data Scientist to perform development of novel and advanced AI/ML algorithms. This work will support a broad user base by applying AI methods
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-acquisition circuitry, and signal-processing/pattern-recognition algorithms. The sensors must be tailored for the particular nature of a given chemical or biochemical measurement problem by optimizing and
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to research, develop, and evaluate algorithms for a variety of signal and/or image processing applications. The successful candidate will have a solid background in computer science with strong skills in
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physics and engineering. We specialize in algorithms and applied mathematics, data science and learning, high-performance computing, multiscale integrated modeling, and software technology. While our
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/FMV, geospatial and AIS tracks, signals and sensor data, and text-based intelligence reports and develop pipelines, annotation frameworks, and quality assurance processes while gaining deep exposure
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hardware exploration and sensor selection (e.g., LiDAR, cameras, Radar, GNSS) to define perception systems tailored to specific project and algorithmic requirements. - Performs hands-on system hardware
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the fundamental challenges of multi-agent coordination and shared situational awareness, fostering the human-agent teaming essential for future mission success. By bridging the gap between sophisticated algorithms
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++, and C#; design of DC-DC converters, AC motor drives, and control algorithms Sensors such as MEMs accelerometers, piezoelectric sensing, MEMs microphones, etc. Current eligibility for access