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computer ▪ Some working knowledge of a computerized medical record system Work in an active and growing OB/GYN clinical environment. In addition to direct physician supervision and education, support will
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professional development through formal education, professional certification, internal and external learning opportunities and recognizes the value of external professional organizations. Supports onboarding
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professional development through formal education, professional certification, internal and external learning opportunities and recognizes the value of external professional organizations. Supports onboarding
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data issues. Utilizing machine learning techniques as appropriate for data analysis. Developing computing programs and software to support research initiatives. Applying new methodologies to real-world
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Knowledge, Skills, and Abilities The Karsh Institute is a fast-paced, highly collaborative culture and the ideal candidate will demonstrate a value for self-directed learning, initiative, innovation, and
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by seeking opportunities for learning and development Contributes to successful operation of the department Accepts coaching / mentoring from others; open to constructive feedback, active listener
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detail oriented. The preferred candidate should have experience with Windows and the ability to learn and troubleshoot new technology. An understanding of Android cell phones and Bluetooth technology is
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appointment start date. Candidates with expertise in cosmological simulations with alternative dark matter models are specifically encouraged to apply. Prior experience using machine learning or artificial
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goals of the department are met and operation runs efficiently. Participates in various teaching and/or learning opportunities in order to further his/her own personal knowledge and to assist in expanding
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emphasis on unit, integration, and end-to-end testing. Minimum Education and Experience Education: Bachelor's degree in Computer Science, MIS, Computer Engineering, or related discipline. Experience: At