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Field
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 1 month ago
connections between wet and dry lab, bringing together computational biologists building new methods at the interface of structural biology and machine learning and experimentalists studying how proteins
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the best interest of our communities. We are encouraged to Be Curious about opportunities for learning, creating, discovering, and innovating, and are encouraged to learn from failure. Show Your Fire by
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Posting Summary Logo Posting Number RTF00206PO26 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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shared purpose of translating our passion for chemistry to young scholars at all levels in many scientific fields. To learn more, please visit our website: http://www.chem.tamu.edu/ We are a prestigious
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 6 days ago
, including GEDI-derived canopy height, vertical structure, and aboveground biomass products. Through this research, the participant will learn to establish metrics for vegetation condition, pre-fire fuel
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Research Initiative on the History of Sexualities and is expected to participate in their activities and to teach one course during the fellowship. Compensation is commensurate with education and experience
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computational simulations to understand how bacteria communicate, acquire nutrients, and cause disease—and to translate these mechanistic insights into new strategies for targeting bacterial virulence
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Freedom and Free Societies Postdoctoral Associate The Program on Freedom and Free Societies at Cornell University (https://freedomandfreesocieties.cornell.edu/ ) invites applications for a two-year
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 2 months ago
assigned as needed. The ILS Lab develops innovative methods at the intersection of operations research, artificial intelligence, and machine learning to solve complex supply chain, logistics, and
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Dr. Playdon’s research, visit her faculty profile https://profiles.faculty.utah.edu/u6017378 . Details about the NIH-funded project (1R01CA313949) can be found on NIH RePORTER: https://reporter.nih.gov