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data, image data analysis, and writing up results for publication in peer-reviewed journals. The successful applicant will be highly motivated, self-starting, curious, and collaborative. Computational
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data, image data analysis, and writing up results for publication in peer-reviewed journals. The successful applicant will be highly motivated, self-starting, curious, and collaborative. Computational
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multivariate data analysis. Preferred Qualifications: PhD in Chemistry, Materials Science or Chemical Engineering. Candidates are expected to have a strong background in quantitative structure analysis based
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intelligence, AI-based data analysis, transcriptomics, proteomics, genomics or spatial omics. Interdisciplinary background or interest. A focus on Wet Lab research development. Candidates with experience
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intelligence, AI-based data analysis, transcriptomics, proteomics, genomics or spatial omics. Interdisciplinary background or interest. A focus on Wet Lab research development. Candidates with experience
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in cells and using an age-dependent murine disease model to analyze neuropathogenic mechanisms. ● Perform POWV experiments and data analysis following in primary cells and cell lines in BSL2/BSL3
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in cells and using an age-dependent murine disease model to analyze neuropathogenic mechanisms. ● Perform POWV experiments and data analysis following in primary cells and cell lines in BSL2/BSL3
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synchrotron X-Ray methods. The Postdoctoral Associate will develop new methods for measurements, data analysis and modeling for Modulation Excitation Spectroscopy and will travel to US and foreign synchrotrons
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synchrotron X-Ray methods. The Postdoctoral Associate will develop new methods for measurements, data analysis and modeling for Modulation Excitation Spectroscopy and will travel to US and foreign synchrotrons
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converter degradation/failure analysis. Brief Description of Duties: The Postdoctoral Associate will support the Principal Investigator, Dr. Fang Luo , in the Department of Electrical and Computer Engineering