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, Geosciences Posting Number req27000 Department Geosciences Department Website Link https://geo.arizona.edu/ Location Tucson Campus Address Tucson, AZ USA Position Highlights The Department of Geosciences
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, walking, reaching, kneeling, talking and hearing. Ability to lift up to 25 lbs. WORK ENVIRONMENT: Scientific research laboratory. Computer data input. Universal safety precautions are mandatory. Lab
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 5 hours ago
. Examples include: determination of high-resolution shape models using shape-from-shading or novel machine-learning methods; studies of high-resolution shape models for geophysical and geological studies
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. • Expertise in one or more of the following areas: statistical analysis of large data sets, machine learning, data visualization, and a high level of independence with a publication record to support these
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 16 hours ago
of microscopy, multiplexed immunofluorescence, spatial/protein imaging, or image-derived single-cell phenotypes. Machine learning, latent variable modeling, variational autoencoders, optimal transport, graph
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or civil union status, sex, pregnancy, gender identity or expression, disability status, liability for military service, protected veteran status, affectional or sexual orientation, atypical cellular
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research methods Position Sponsorship Eligibility: Not eligible for work visa sponsorship About Department/College/Area/ Campus -Department website: https://tfrec.cahnrs.wsu.edu/ ; Project website: https
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, execution, and interpretation of results. There are no supervisory responsibilities with this position. To apply Please apply via Academic Jobs Online https://academicjobsonline.org/ajo/jobs/32790. Qualified
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Posting Summary Logo Posting Number RTF00204PO26 USC Market Title Post Doctoral Fellow Link to USC Market Title https://uscjobs.sc.edu/titles/156387 Business Title (Internal Title) Post Doctoral
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About the Opportunity Conduct research on machine learning, control theory, and synthetic biology. The work will combine tools from dynamical systems, control theory, and the theory of algorithms