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Field
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, with the possibility of extension based on performance and funding availability. Key Responsibilities: Molecular cloning (mutagenesis) of gene(s) of interest Generation of knockout cells using CRISPR
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biologists on two projects that will be aiming for new methods for measuring protein and lipid composition of individual exosomes as well as detection of rare nanoscale defects in high-performance materials
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Oak Ridge National Laboratory, Mathematics in Computation Section Position ID: ORNL-POSTDOCTORALRESEARCHASSOCIATE [#27204] Position Title: Position Type: Postdoctoral Position Location: Oak Ridge
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | about 4 hours ago
must protect from extreme environments and phenomena, such as deformation, impact and high-enthalpy heating. Woven material performance depends on microstructure, damage and weave geometry. Therefore
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Science, Computer Science, Applied Mathematics, Engineering and Physics. Additional Qualifications Expertise (or desire to work) in reduced order modeling, Causal inference and High Performance Computing
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activities in the research laboratory with limited supervision from the Laboratory Supervisor or Principal Investigator (P.I.). The candidate is responsible for performing high-level laboratory procedures
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general supervision conferring with higher levels only in unusual situations. 8. Performs other job-related duties as required. The College of Liberal Arts and Social Sciences (CLASS) at the University
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Biology provides access to high-performance computing clusters, a cloud computing environment, innovative visualization tools, highly automated analytical pipelines, and mentorship from faculty scientists
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these discoveries into new therapies and diagnostics. We employ cutting-edge approaches in genome engineering, synthetic biology, genomics, and computational biology to illuminate the regulatory networks governing
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-edge high-performance computing (HPC) that incorporate machine learning/artificial intelligence (ML/AI) techniques into visualizations, enhancing the efficiency and reliability of scientific discovery