14 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Dr" "UCL" "UCL" "UCL" "UCL" research jobs at The University of Alabama
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to provide effective teaching and carry out research in collaboration with members of members of one of our research groups. See our web page https://math.ua.edu/research-overview/ for more information
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Research and teaching experience in related fields. Detailed Position Information The Department of Museum Research and Collections within UA Museums at the University of Alabama is searching for a Renewable
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to individuals with research interests in electric vehicle analytics (EVA). The successful candidate will conduct research under the supervision of Dr. Mesut Yavuz and Dr. Matthew Hudnall and will have the
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candidates for a Postdoctoral position. This position is available to individuals with research interests and expertise in modeling and data analyses of hydrologic processes. The College and/or the Civil
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Libraries Research Computing Student Assistant will develop scripts, documentation, tutorials, and assist with teaching workshops such as programmatic retrieval of scholarly information, data manipulation
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Statement: Prior to hiring, the final candidate(s) must successfully pass a pre-employment background investigation and information obtained from social media and other internet sources. A prior conviction
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Pay Grade/Pay Range: Minimum: $53,500 - Midpoint: $66,900 (Salaried E8) Department/Organization: 214251 - Electrical and Computer Eng Normal Work Schedule: Monday - Friday 8:00am to 5:00pm Job
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candidates for a Postdoctoral fellow. This position is available to individuals with research interests and expertise in modeling and data analyses of hydrologic processes. Successful candidates will hold a
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Researcher II supports ongoing research projects in the field of geography, working closely with a team of researchers and project leads. Responsibilities include collecting and analyzing spatial data
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experience in at least three of the following: developing watershed model input datasets, geospatial analysis, applying large-scale hydrologic models, artificial intelligence and machine learning, computer