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to develop AI-enabled, low-latency signal-processing algorithms for next-generation pixel detectors used in high-energy physics experiments. This position offers the opportunity to engage in cutting-edge
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collects physiologic and biologic data in extreme environments and utilizes this data to develop novel prediction algorithms of acute mountain sickness, heat exhaustion, cold injury, and other environmental
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on designing and evaluating radar signal processing algorithms, developing sensing architectures, and advancing radar technologies through applied research, development, and evaluation. The successful candidate
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RAP opportunity at National Institute of Standards and Technology NIST Infrared Technology Location Physical Measurement Laboratory, Sensor Science Division opportunity location 50.68.51.B7540
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collating and managing data with version-controlled programmatic workflows in R and/or Python, including large volumes of high-frequency sensor data and model outputs; working with investigators to design and
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National Aeronautics and Space Administration (NASA) | Hampton, Virginia | United States | 3 months ago
observations by the end of the decade as other sensors are phased-out. The SAGE Mission is seeking qualified candidates to conduct research activities that advance the maturity of this increasingly important
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postdoctoral researcher to join our dynamic animal science and artificial intelligence team. The candidate will develop novel algorithms that advance the use of computer vision in precision livestock farming
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solutions that support research into the vulnerabilities of AI and ML algorithms and securing against those vulnerabilities. The Secure AI Lab within the SEI’s AI Division focuses on improving the security
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that support research into the vulnerabilities of AI and ML algorithms and securing against those vulnerabilities. The Secure AI Lab within the SEI’s AI Division focuses on improving the security and robustness
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. The position will focus on developing computational algorithms and tools for the analysis of mass spectrometry-based proteomics data. Research projects will center on advancing the FragPipe computational