10 assistant-professor-computer-science-data-"https:"-"https:"-"https:" Fellowship positions at The University of Alabama
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member who serves as a mentor for the postdoctoral appointee. Additional Department Summary: The Electrical and Computer Engineering Department at The University of Alabama is seeking candidates for a
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Postdoctoral Fellow position. This position is available to individuals with research interests in computational catalysis and surface science. Successful candidates will hold a terminal degree in Chemical
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Operations Research, Operations Management, Industrial Engineering, Electrical Engineering, Computer Science, or a closely related field. Preferred Qualifications: Experience in the area of transportation and
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will be contingent upon demonstrated research productivity and availability of funds up to a period of four years. Required Department Minimum Qualifications: Ph.D. in computer science, geospatial
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, data science, civil engineering, or a related field, with research expertise in geospatial artificial intelligence, human dynamics, and/or urban informatics. Candidates will need to have completed
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member who serves as a mentor for the postdoctoral appointee. Additional Department Summary: The Department of Metallurgical and Materials Engineering at The University of Alabama is a seeking candidate
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terminal degree in Civil or Environmental Engineering, hydrology, ecology, geosciences, computer science, applied mathematics, data analytics, or related fields at the start date. Candidates will need
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position. This project will focus on geospatial analysis to identify data and research monitoring gaps in the Northern Gulf of America, as a first step toward developing a Northern Gulf of America Coastal
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Civil or Environmental Engineering, hydrology, ecology, geosciences, computer science, applied mathematics, data analytics, or related fields at the start date. Candidates will need to have completed
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reports. Background Investigation Statement: Prior to hiring, the final candidate(s) must successfully pass a pre-employment background investigation and information obtained from social media and other