1,939 computer-programmer-"https:"-"Inserm" "https:" "https:" "https:" "https:" "https:" "https:" "UNIV" positions at The Ohio State University in United States
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. Previous experience in staff development/education preferred. Demonstrated computer skills, including word processing, spreadsheets and relational databases. Excellent written and verbal communication skills
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(https://aihub.osu.edu ). The AI(X) Hub at The Ohio State University is a university-wide initiative to accelerate research, innovation, and education in artificial intelligence. It spans 15 colleges and
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the relevant field of study or possession of equivalent experience. Artificial Intelligence in Digital Health (AIDH, https://go.osu.edu/aidh ) in the Department of Biomedical Informatics (BMI, http://bmi.osu.edu
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graduate program and for training future leaders of orthodontists and researchers. The division's faculty members have dedicated their careers to the orthodontic profession while being supported by excellent
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. Experience with laboratory information management systems. Experience developing lab standard operating procedures. Experience organizing outreach program and events. Application Materials A resume is required
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Number: R142800 This position reports to the Program Director for the Expanded Food and Nutrition Education Program (EFNEP). Location: OSU has flexible work arrangement options, as well as, Campbell Hall
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at advancing our understanding or developing new therapeutic/diagnostic strategies for human cardiovascular disease. https://osu.az1.qualtrics.com/jfe/form/SV_4O6QSKa7Loy1wrQ Location: Davis Heart and Lung
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. Connections working at The Ohio State University More Jobs from This Employer https://main.hercjobs.org/jobs/22101764/patient-services-technician Return to Search Results
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collaborative clinical and practice research. The 340B Compliance Analyst supports the management, compliance, and optimization of the organizations 340B Drug Pricing Program. This position serves as a key
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University College of Medicine, our goal is to use the lens of metabolism to better understand and predict cancer progression. We use a combination of experimental and clinical data paired with computational