212 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"UNIV" positions at The University of Alabama
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. Will be required to run errands occasionally. Required Minimum Qualifications: High School Diploma Skills and Knowledge: Strong communication, organization, and computer skills. Preferred Qualifications
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-solving skills. Excellent computer skills to include word processing, spreadsheet and/or database management. Ability to interact with a computerized management system. Ability to provide a sound basis for
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enforces all HRC policies and UA Student Code of Conduct. Maintains confidentiality regarding private or personal information of students, parents, groups, staff, and departmental needs. Educates groups
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. This position is fully funded by external grants from NOAA. Computational modeling will be utilized, and a wide range of in-situ and remotely-sensed data, analytical and statistical tools/methods
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to 40 hours per week during the Summer 2026 semester. Skills and Knowledge: Basic computer skills. Good communication skills. Enrollment Requirements: Applicants must meet enrollment requirements to be
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pass a post-offer drug screen. Background Investigation Statement: Prior to hiring, the final candidate(s) must successfully pass a pre-employment background investigation and information obtained from
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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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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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radio or television broadcast environment. Background Investigation Statement: Prior to hiring, the final candidate(s) must successfully pass a pre-employment background investigation and information
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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