413 high-performance-computing positions at The Ohio State University in United States
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and the student personnel program; works weekends, various hours, special events, and holidays as business need dictates. Minimum Education Required High School Diploma or GED or equivalent combination
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Community Medicine; Responsibilities are basic and routine in nature. This may include performing administrative duties in an office, aid faculty/staff in supporting academic programs or patient care
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include the design and application of high-performance millimeter-wave RF front-ends, digital-to-analog and analog-to-digital converters for communication and radar systems, and the development of hardware
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sterilized, appropriately functioning medical supplies and instrumentation are packaged and delivered to the point use aseptically. Additionally, this position needs to serve as a clinical liaison between the
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setting and independently with limited direction. Critical tasks performed by this area also include communicating, tracking, and reporting computing environment outages. Responsible for receiving
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to create value. High degree of computer literacy and competence in use of Microsoft Office (i.e. Word, Excel, Publisher, PowerPoint, and Outlook) including the ability to build and develop persuasive
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patient throughput and optimizes hospital-wide efficiency, fostering a streamlined and high-performing healthcare system. Minimum Requirements: Bachelor’s Degree Required. Advanced degree in relevant field
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, publication, faculty development, and continuing education. There is a mentoring program in place for new faculty members to support their academic development as teachers and clinical scientists. Performance
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and deployment duties within the medical center. Acts as a team leader for complex projects, assignments and issues associated with the desktop computing function. Minimum Qualifications High school
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breeding, bioinformatics, computational biology, genetics, molecular biology or related field Required Experience • Experience with high-performance computing and analysis of next-generation sequencing