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shares our values and who will support the mission of the university through their work. Qualifications: PhD in Materials Science and Engineering or a related field (e.g., physics, chemistry, chemical
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support the mission of the university through their work. Qualifications: PhD Degree in MSE/MECHE or a related field (e.g., physics, chemistry, chemical engineering) Publications in peer-reviewed journals
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required Strong training in economics, econometrics, and data science, with a demonstrated potential for excellence in research and teaching Priority will be given to candidates who have prior experience
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required Strong training in economics, econometrics, and data science, with a demonstrated potential for excellence in research and teaching Priority will be given to candidates who have prior experience
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close to completing, a PhD in Chemical Engineering, Biomedical Engineering, Mechanical Engineering, or a related field Strong candidates will have expertise in one or more of the following areas
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close to completing, a PhD in Chemical Engineering, Biomedical Engineering, Mechanical Engineering, or a related field Strong candidates will have expertise in one or more of the following areas
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of natural language processing, machine learning, artificial intelligence, and human-computer interaction. Established within the School of Computer Science, LTI pioneers innovative approaches to understanding
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of natural language processing, machine learning, artificial intelligence, and human-computer interaction. Established within the School of Computer Science, LTI pioneers innovative approaches to understanding
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, the applicant must have a PhD in computer science, , psychology, sociology, communications, or a related field. Experience interviewing, designing surveys, qualitative data analysis, and knowledge of statistics
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engineering, earth science, computer science, or related field required. A PhD specializing in glacier modeling, remote sensing, and/or statistics preferred. Python coding experience preferred. Strong