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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 18 days ago
(such as JWST, ALMA, Europa Clipper) and to optimize the science returns of upcoming planetary exploration missions, a comprehensive molecular-level understanding of ice chemistry, spectroscopy, and
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candidate will support research and development projects that advance the state of the art in machining science, machine tool design and characterization, manufacturing process optimization, and digital
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developing, optimizing, or troubleshooting complex experimental or computational workflows. Experience working in a collaborative or multidisciplinary research setting. Experience mentoring or training
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extrinsic stresses. Foodborne pathogenic bacteria use complex molecular mechanisms to adapt and survive in the variety of harsh environmental conditions (meat animal host, production and processing chain, and
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results effectively to academic, industrial, and general audiences. Key responsibilities Lead the design, commissioning, operation, and optimization of high-temperature reactors for methane and natural-gas
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, or a related STEM field. Experience with EHR data, machine learning or deep learning, natural language processing, medical imaging, or large language models (LLMs) is highly desirable. Familiarity with
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detector operation routines for both execution efficiency and optimal detector performance. Qualifications and Skills: Required: Ph.D. in physics, astrophysics, engineering, or a closely related field
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to post-process characterization. This environment enables the creation of high-fidelity digital twins and AI-ready datasets that support real-time monitoring, predictive modeling, and process optimization
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Carolina is inviting applications of two postdoctoral associates in the area of mathematical foundations of data science, AI, Graph Theory, Optimization, Probability Theory in a broader sense. The candidates
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of Energy (DOE) experimental facilities. This role involves research and development spanning areas such as optimization, Fourier analysis, numerical linear algebra, statistics, machine learning, and high