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Position Type PATH - Slotted Athletics Full or Part Time Full-Time Basis 12 mo. Hours per week 37.5 hours per week Normal Work Schedule Varies Job Details Coastal Carolina University is currently accepting
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Position Type PATH - Slotted Athletics Full or Part Time Full-Time Basis 12 mo. Hours per week 37.5 hours per week Normal Work Schedule Varies Job Details Coastal Carolina University is currently accepting
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, answering phones, and greeting office visitors. Recognize a coding system and operate the computer and scanner to image and store confidential documents into a database. May assist with other office tasks as
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Normal Work Schedule Mon-Thu: 8-5 ; Fri: 8-12:30 Job Details Coastal Carolina University is currently accepting applications for the following full-time position: Information Security Analyst in the Office
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Schedule Mon-Thurs 8:00am-5:00pm, and Fri 8:00am-12:30pm Job Details Coastal Carolina University is currently accepting applications for the following position: Assistant Director for Resident Success in
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Department Visual Arts Position Type PFAC - Slotted Faculty Full or Part Time Full-Time Basis 9 mo. Job Details The Department of Visual Arts at Coastal Carolina University, accredited by NASAD (National
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of carbon in marine coastal areas. Among the sources, the supply of dissolved carbon via submarine groundwater discharge (SGD) remains poorly understood, mainly because SGD is an invisible process that is
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8:00 a.m. - 5:00 pm Monday - Thursday; 8:00 a.m. - 12:30 p.m. Friday Job Details Coastal Carolina University is currently accepting applications for the following full-time position: Operations
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University of North Carolina Wilmington | Wilmington, North Carolina | United States | about 2 hours ago
Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 13-Jan-26 Location: Wilmington, North Carolina Type: Full-time Categories: Academic/Faculty Computer/Information
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in the areas of Hydrological and Earth System Modeling and Artificial Intelligence (AI). The successful candidate will have a strong background in computational science, data analysis, and process