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analytical skills, and a creative, convergent approach to analysis. This position offers a unique opportunity to work at the forefront of energy and industrial systems modeling, contribute to multi
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required) Kinetic modeling proficiency (Chemkin, Cantera), analytical proficiency (sensitivity, rate of production, etc.) Spectroscopic modeling experience preferred (HITRAN/HITEMP) Familiarity with
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/in of genes) Capability to design and perform anaerobic fermentations Experience with analytical techniques such as HPLC and GC Prior experience in designing and performing various biochemical and
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of applying a wide variety of scientific principles and theories. Maintains substantial knowledge of state-of-the-art principles and theories. Develops advanced analytical models and systems and provides
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qualified family members; access to UA recreation and cultural activities; and more! The University of Arizona has been recognized for our innovative work-life programs. For more information about working at
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data storage capacity to accelerate research in intensive computing and large-scale data analytics, commonly referred to as Big Data. This characteristic distinguishes the HPC center at the university
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chemistry or a similar field with a focus on analytical food chemistry and lipid oxidation. Demonstrated research competence and initiative through international publications in peer-reviewed media and
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record in theoretical and/or computational mechanics Knowledge, Skills, and Abilities Excellent analytical and mathematical skills Proficiency in numerical analysis using finite element method (FEM
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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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of Future Medicines and AI & Data Analytics. The successful candidate will gain experience developing computational tools to support a rational and science-based approach to selecting formulations