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analysis techniques for biomarkers and statistical analysis using Python. The candidate will be expected to lead research on using biomarkers to reconstruct past climate changes, including presenting
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to cutting-edge research in design automation, manufacturability analysis, and data-driven approaches for additive and conventional manufacturing processes. Outstanding UA benefits include health, dental
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the University of Arizona and relocations services, please click here . Duties & Responsibilities Developing and participating in field campaigns. Leading analysis of multispectral and hyperspectral data
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electrification technologies, including electro catalytic activation of small molecules, fundamental studies of electrode-polymer interfaces, and the design of membrane platforms for critical element separations
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. Carry-out analysis of research samples using advanced techniques and validate the measurements. Document, process and analyze research data. Disseminate research results through publishing papers and
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supervision of laboratory staff. Oversee maintenance of hazardous/chemical waste records and disposal as needed. Knowledge, Skills, and Abilities: Knowledge of coordinating experiments, and completing analysis
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critical analysis of prior research, design and execute experiments, troubleshoot once necessary. Write manuscripts, and present data in research conferences. Contribute to grant applications. Knowledge
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organizational skills. Proficient user of Microsoft Office Suite. Skills and ability to perform bioinformatic analysis of transcriptomic data. Skills and ability to perform metabolic analysis (e.g. Seahorse
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exoplanet transmission spectroscopy data from the James Webb Space Telescope project “Eyes on the Stars”; and the Pandora SmallSat. Use or develop integrated, multi-component stellar photosphere/planetary
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Strong foundational skills in computational analysis of RNA-seq and CLIP-seq data. Working knowledge of immunofluorescence and immunoprecipitation assays. Minimum Qualifications Ph.D in Cell Biology