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Field
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responsibilities but will have the opportunity to interact with and mentor graduate and undergraduate students. To apply: Please apply via Academic Jobs Online https://academicjobsonline.org/ajo/jobs/31747
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characterization, specifically under anaerobic conditions; (ii) electrochemical characterization of microbial interactions; (iii) writing of scientific reports and allied presentations. Qualifications: A Ph.D. in
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interacting with a team of researchers from several universities. Knowledge of advanced statistics and experience working with MPlus, SPSS, R, and other statistical packages is required. Experience using large
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. Detailed description of the work duties, such as: Research and optimization of acoustic cell sorting. Designing and building of new acoustic cell separation modalities. Research within single cell proteomics
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of results at conferences - interaction with team members and international collaborators The Machine Learning for Integrative Genomics team (https://research.pasteur.fr/en/team/machine-learning
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 3 hours ago
Designated Countries will not be accepted at this time, unless they are Legal Permanent Residents of the United States. A complete list of Designated Countries can be found at: https://www.nasa.gov/oiir/export
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- engaged in constant interactions with proteins, other RNAs, and the ribosome - until it is inevitably degraded. How do these events coordinate in time and space? Why do some RNAs survive while others
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the interaction of respiratory viruses with the host. The candidate will work on the key interaction of host sentinels proteins with viral RNA that leads to the onset of the antiviral response and determines
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research methods on large, domain-specific scientific datasets. Major Duties/Responsibilities: Designing and developing foundational AI-driven techniques for the generation and exploration of complex, large
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domain experts—such as those in neutron scattering and urban science—to apply and evaluate research methods on large, domain-specific scientific datasets. Major Duties/Responsibilities: Designing and