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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 3 hours ago
be used in relevant analyses. While the developed methods will be generally applicable, the specific problem and models used in the study will depend on the qualifications and interests
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 9 hours ago
research expenditures as well as for federally funded social and behavioral sciences research and development. Here at Carolina, our highly skilled postdocs play a vital role in our research enterprise and
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equipment. This position involves both technical and research support responsibilities. The successful candidate will contribute to method development, target and non-target analysis of environmental
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specifically on developing machine learning-based surrogates and emulators for the dynamics of power grids. This role involves creating advanced probabilistic models that capture the complex behaviors
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analyses, scientific communication, and other areas of professional development to advance their career interests and goals. Minimum Education and Experience Requirements: Doctoral degree in Life Sciences
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development of grant proposals and scientific manuscripts. Maintain a current Laboratory Notebook, documenting all calculations, work, experiments, and other pertinent research information. Conduct
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Emory University is a leading research university that fosters excellence and attracts world-class talent to innovate today and prepare leaders for the future. We welcome candidates who can
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in vitro models along with advanced 3D and 4D imaging technologies, we aim to illuminate key molecular and cellular mechanisms underlying human neural development and the pathogenesis of neurological
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theories. Develops advanced analytical models and systems and provides solutions and analyses to support strategic and tactical decisions. Adheres to University and unit-level policies and procedures and
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for this position will work as a member of an interdisciplinary team on research involving the use of statistical and machine learning methods for the development of Immune Digital Twins. There will be potential