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Chemistry, 250, https://doi.org/10.1016/j.marchem.2022.104196 . B. R. Carter, J.Sharp, A. Dickson, M. Alvarez, M. Fong, M. García - Ib áñ ez, R.Woosley, Y.Takeshita, L.Barbero, R. Byrne, W. - J. Cai, M
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; Artificial Intelligence (AI), Machine Learning (ML) and Deep Learning (DL). 1 - Cumeras, R., T. Shen, L. Valdiviez, Z. Tippins, B. D. Haffner and O. Fiehn (2023). "Differences in the Stool Metabolome between
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assay,” U.S Patent US 9,725,752 B2 [2017]. https://patentimages.storage.googleapis.com/f5/0d/31/c1a761cc10e83d/US9725752.pdf [3] W. L. Johnson et al. , “Sensing bacterial vibrations and early response
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Sintering: Progress, Challenges, and Future Opportunities, Ann. Rev. Mater. Res. 49, 275-295 (2019). https:// doi.org/10.1146/annurev-matsci-070218-010041 . 2. C. Wang, W. Ping, Q. Bai, H. Cui, R
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, and experience with image processing (MATLAB experience preferable). Staff webpage: https://www.nist.gov/people/david-deisenroth Testbed wepage: https://www.nist.gov/el/intelligent-systems-division
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maintains the nation’s energy scale for dynamic impact (Charpy) testing, which is critical to ensuring performance of structural steels. Please visit our websites at https://www.nist.gov/mml/acmd/fatigue-and
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. References: https://doi.org/10.1002/rcm.7475; https://doi.org/10.1002/bit.27661 Keywords Liquid Chromatography; Mass Spectrometry; Metabolomics; Biomanufacturing; Bioinformatics Eligibility citizenship Open
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potential proposals. (1) https://www.biorxiv.org/content/10.1101/2025.02.18.638308v1.full (2) https://www.nature.com/articles/s41598-024-57981-4 Keywords Microbiology; Cell Count; Enumeration; Microbial
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Study”, J. Phys. Chem. B, (2022) https://doi-org.colorado.idm.oclc.org/10.1021/acs.jpcb.2c06579. H-L Sung and D. J. Nesbitt, “Synergism in the Molecular Crowding of Ligand-Induced Riboswitch Folding
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economically viable, which requires reduced acquisition time, advanced scanning strategies, and novel reconstruction and defect-detection algorithms based on artificial intelligence and machine learning (AI/ML