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molecular and immunological assays, 2D and 3D cell culture, including primary cells, and procedures with mice. Basic and more complex computational tasks will be required for data analysis and interpretation
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(power, medical, space) including components, structural materials and electronics, as well as those exploring novel nuclear fuels. Research can be computational and/or experimental to support
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applications that may arise with collaborators across the department and college are encouraged to apply. The successful candidate will collaborate with our current theoretical and computational faculty across a
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, materials, virology, computational biology, science communication, community engagement, and ethics. Candidates should demonstrate all relevant qualifications (see required and preferred qualifications below
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Center for AI and Data Analytics, as well as with partners in industry, government, and non-profit sectors. The successful candidate will hold a PhD or PhD-equivalent doctoral degree in computer
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-based models, and remote sensing technologies. Required Qualifications • Ph.D. in Civil or Environmental Engineering, Hydrology, Data Science, Geosciences, Computer Science, or a related field. PhD must
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of Engineering’s undergraduate program ranks 13th and the graduate program ranks 31st among all U.S. engineering schools while the Mechanical Engineering Department’s undergraduate program is ranked 13th and
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, and policy. Required Qualifications • PhD in economics, applied economics, or a related field combining computational / quantitative modeling and methods with economic theory and / or applications by
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, fostering skill development, academic growth, and professional advancement within the research environment. Required Qualifications • PhD in a relevant field (e.g., civil engineering, computer
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jurisdictions utilizing land use-value assessment estimates. Duties include, but are not limited to: development of computational methods, maintenance of current models and data sets, identifying and testing