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teaching load of 2 classes per year. The position is for two years, and can be renewed for a third year pending satisfactory performance. Required Qualifications ● A PhD in Mathematics or an equivalent area
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) in their application packet. Required Qualifications • PhD in Chemical Engineering, Biomedical Engineering, Materials Science and Engineering, Biological Sciences, Chemistry or related field. The PhD
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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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, 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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Qualifications - Ph.D. in a biological science such as cell biology, immunology, cancer biology, biochemistry, or related field. PhD must be awarded no more than four years prior to the effective date
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well as classroom instruction, and a willingness to expand disciplinary boundaries while training the next generation of engineers. Preferred Qualifications A PhD degree in mechanical engineering or a closely related
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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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his PhD degree in Prof. Curtis Berlinguette’s lab at University of British Columbia in Canada in 2018. He then moved to Prof. Erwin Reisner’s lab at the University of Cambridge for postdoc program. In
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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