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, vulnerability scanning, and asset management systems. Required Qualifications Bachelor’s degree in computer science or other related technology field or equivalent education and experience. 2 years
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OSU | about 1 month ago
activities abroad. Physical Requirements: Sitting/standing at a desk, computer use for long periods of time (6-8 hrs/day) . International or domestic travel is not a requirement but may be possible with
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OSU | about 2 months ago
processing internal and external communications through an integrated computer telephony system. This role involves multi-tasking within several computer applications and the ability to think critically
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OSU | about 1 month ago
computer system; resolving routine problems and complex situations using appropriate medical terminology, office practices and procedures, and established customer service principles; maintaining safe and
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OSU | about 1 month ago
completed for patients being seen at The James. May be responsible for supporting other areas (financial counseling, precertification and registration). Ability to work with multiple different computer
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OSU | about 1 month ago
other computer work. Requires sufficient personal mobility and physical reflexes, which permits the employee to function in a general office environment to accomplish tasks. Required : High school
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in addressing important problems). Excellent computer skills and excellent communication skills to effectively interact with faculty and other researchers in a professional manner. Desired
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OSU | about 1 month ago
Support Specialist Department: OCIO | Customer Solutions The Desktop & Education Support Specialist works within a team to provide OCIO supported customers professional computer support services
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necessary) the information in your candidate profile as it will transfer to your application. Job Title: Senior SEM Lecturer Department: Engineering | Electrical and Computer Engineering Serves as
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OSU | about 2 months ago
artificial intelligence and dental health, with a focus on building multimodal AI models to predict dental caries progression. The successful candidate will work on developing deep learning and computer vision