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Biophysical and Biomedical Measurement Group, National Institute of Standards and Technology | Gaithersburg, Maryland | United States | 2 months ago
describe your relevant technical background, including specific techniques, instruments, assays, software, and your role in developing or applying them. Group information: https://www.nist.gov/pml
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? The University of Colorado offers a comprehensive benefits package. To see what benefits are available for Post-Doctoral Fellows, please visit: https://www.cu.edu/docs/benefits-package-guide-post-doctoral-fellows
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Columbus, Ohio. More information about the lab is available at https://sun-hongyu.github.io/ . We welcome applicants from diverse disciplinary backgrounds, including geophysics, seismology, data science
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position to work with Dr. Alexander Young on the development of mathematical theory, statistical methods, and software in statistical genetics. This role is ideal for a researcher with strong quantitative
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international groups developing methods for the analysis of microbiome data (https://statdivlab.github.io/ ). The StatDivLab develops cutting-edge statistical methodology to address the most important
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. Proficiency in relevant software, operational system, and programming languages. Preferred Qualifications: Preference will be given to candidates who have demonstrated significant contributions in computational
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resources for the broader education research and developer community. The Postdoctoral Associate will participate in cross-disciplinary research and development projects related to learning engineering and AI
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Research Associate, Radiology and Imaging Services Posting Number req26573 Department Radiology & Imaging Sci Dept Department Website Link https://radiology.medicine.arizona.edu/ Location Tucson Campus
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Publications: 1. P. Chen et al., Ultrafast photonic micro-systems to manipulate hard X-rays at 300 picoseconds, Nat Commun, 10:1158 (2019). https://doi.org/10.1038/s41467-019-09077-1. 2. P. Chen et al., Optics
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-documented software workflows for reaction data generation, curation, featurization, and model deployment. Collaborating with experimental groups at CMU and external partners to convert mechanistic hypotheses