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Field
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record. Ability to multi-task and work both independently and cooperatively with others. Preferred Knowledge, Skills, and Abilities: Strong computational and data analytics skills Modeling experience
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or novel analytical methodology for analysis, detection, or treatment of PFAS. Generally, the postdoc will provide support to research projects under the direction of Dr. Guo analyzes problems in research
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scientific journals, (3) have strong analytical and computational skills, and (4) have excellent communication, presentation, and interpersonal skills. Required Files: Curriculum Vitae (with links
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spectroscopies, or nanophotonics Basic understanding of data analytics techniques. Preferred Qualifications: Experience with spin-based or squeezed quantum sensors. Experience with dilution refrigeration
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competence is expected in the use of analytical methods including proton NMR spectroscopy and mass spectrometry for reaction monitoring. Ideally candidates will also be experienced in synthetic organic
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with the functional performance of nanofibers in various applications. Characterize the extracted cellulose fibers using analytical techniques such as FTIR, XRD, SEM, TGA, and others. Evaluate
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quantitative analytic methods. Core responsibilities include: Conducting data analysis for ongoing projects. Developing independent and collaborative publications by accessing available longitudinal data
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with high-performance computing (HPC) infrastructures is advantageous Excellent analytical and problem-solving capabilities Proven track record of publishing in reputable scientific journals and at
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physics research under my supervision on topics including quantum many-body physics and quantum statistical mechanics. The research is expected to be partly analytical and partly computational in nature
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Qualifications Experience in electrophysiology and analytic methods for analyzing this type of data. Experience in computational neuroscience and modeling, as well as in the aging brain is desirable. FLSA Exempt