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computational modeling techniques, Finite Element Modeling (FEM), and Discrete Element Modeling (DEM), and experimental testing of terrain properties for terrain-vehicle simulation and modeling. Focus
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protocol and manuscript development, and in grant writing Department/Program & College Description: The Kozminsky Lab develops and applies technology to create in vitro models of physiological
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computational solidification studies including non-equilibrium processing, thermodynamic modeling, electronic structure based calculations, magnet manufacturing via the Advanced Magnet Facility, and advanced
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methane-blocking agents disrupt MCR catalysis in bovine rumen methanogenesis. The researcher will generate validated computational models that inform inhibitor design, ensuring mechanistic accuracy and
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the state-of-the-art experimental facility. The ability to interface with a diverse team of administrative staff and materials processing and design professionals, computational and theoretical modeling
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Qualifications: Bachelor’s degree in Computer Science, Software Engineering, Information Systems, or a related technical field. Experience developing and maintaining web applications using modern frameworks and
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, processing, and model building). Demonstrated ability to work independently and collaboratively in a diverse research team. Preferred Qualifications: Experience with ribosome profiling or related techniques
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broader institutional policies. Experience in budget and resource management, including fiscal planning, financial modeling, and data-informed decision-making that balances revenue growth and cost
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modeling, and cyber-physical systems. Exceptional candidates with commensurate experience and proven track record will be considered for the Associate Professor or Full Professor rank. Successful candidates
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engage in meaningful work that helps students overcome challenges and meet their personal and academic goals. Key Responsibilities: Provide individual and group therapy within a brief treatment model