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Field
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) with a particular focus on event forecasting, predictive maintenance, and corrective actions. The role would encompass working on forecasting, predictive, and text generation algorithms with Large
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 18 days ago
include (but are not limited to): Develop algorithms to characterize aerosol speciation from LIDAR fluorescence signals Develop machine learning emulators to represent forward operators for polarimeter-only
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measuring MEMS devices, as well as designing feedback loops and control algorithms for their precise operation Experience using software tools to simulate the physical properties and behavior of MEMS
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of accomplishments (e.g., peer-reviewed publications and/or patents). Key Responsibilities & Accountabilities: Algorithm Development, Data Analysis and Communication: Effectively design, implement, and evaluate
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National Aeronautics and Space Administration (NASA) | Hampton, Virginia | United States | 18 days ago
concepts, specifically regarding ozone retrieval algorithms and validation methodologies. Proficiency in programming languages commonly used in scientific research, such as Python, R, or MATLAB, for data
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), custom accelerators, and next-generation quantum and analog devices. Your work will contribute to a vision of autonomous system engineering in which AI agents understand algorithmic intent, architectural
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/or R. Develop, maintain, and implement custom scripts for data acquisition, processing, and analysis as well as machine learning algorithms and techniques to classify and predict outcomes based
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for communications metrics Hardware-aware evaluation (desired): participate in SDR/hardware-in-the-loop experiments and help bridge algorithm design with realistic RF/platform effects. Required qualifications Ph.D. in
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developing cutting edge analytic tools for studying the genome transformation and genomic activities. 70% - The candidate will be mainly focusing on developing machine learning methods and/or AI algorithms
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optimization algorithms for complex trial design spaces. Required qualifications: A PhD or equivalent doctoral degree in biostatistics, statistics, applied mathematics, operations research, computer science