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Department at #2 nationally in the Electrical and Electronic Engineering category. Required Qualifications • PhD degree in Electrical Engineering, Computer Engineering, or other related disciplines. PhD must
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, and with a strong background in numerical analysis and scientific computing. PhD must be awarded no more than four years prior to the effective date of appointment with a minimum of one year eligibility
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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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, 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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-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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. Experience with both experimental and computational approaches is desirable, as is proficiency in widely-used microbiological methods. The Aylward lab is a vibrant and dynamic work environment that welcomes
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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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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 science
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Construction Engineering, Civil Engineering, Mechanical Engineering, Computer Science, Robotics, or a related field. Ph.D. in relevant engineering degree. PhD must be awarded no more than four years prior
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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 science