384 evolution "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" "U.S" "Sciences Po" positions at NIST in United States
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like ion mobility). Applicants are expected to have knowledge of LC-MS/MS. Knowledge of mass spectral libraries would be beneficial. References: https://doi.org/10.1002/rcm.7475; https://doi.org/10.1002
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U.S. biotechnology (e.g. biofuels) and biomanufacturing (e.g. sterility of cell and gene therapy products) and support cutting-edge microbial research (e.g. microbiome dynamics). Many
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quantum methods to improve sensitivity of DCS References: https://www.nist.gov/programs-projects/greenhouse-gas-and-atmospheric-trace-gas-measurements Cossel, K. C., Waxman, E. M., Giorgetta, F. R., Cermak
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NIST only participates in the February and August reviews. Sorbent materials are candidates for many industrial sustainable development applications, including hydrogen and methane storage, gas
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RAP opportunity at National Institute of Standards and Technology NIST Analytical Methods Development for the Determination of Anthropogenic Contaminants in the Marine Environment Location
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testing novel MOF materials for applications in carbon capture (https://doi.org/10.1016/j.xcrp.2022.101063). Successful candidates must have a background in MOF synthesis and characterization. Special
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than the actual biological changes being probed in metabolomics investigations, which is a roadblock to commercial translation of findings. Research in this area will focus on the development and
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controls. The position will require programming skills, mostly with Python. To understand the vision of beamline operations inspiring this opportunity, see these two recent publications: https://doi.org
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RAP opportunity at National Institute of Standards and Technology NIST Development of Procedures for Increasing the Information Content of the Biomolecular Solution X-ray Scattering Data and
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new measurement capabilities, standards, or applications or improve existing methods for reference artifact calibration. For more information, see https://www.nist.gov/pml/sensor-science/dimensional