639 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions at The Ohio State University in United States
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and out of a car, in and out of a wheelchair, and in and out of our clinical furniture. MINIMUM REQUIRED QUALIFICATIONS High School graduate or equivalent. 0 years of relevant experience required. 0-2
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machine learning—for chemical and biological applications. You will design and implement models ranging from molecular to process scales, develop model-predictive control and optimization strategies, run
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preferred. Excellent verbal and written skills required. Proficient in the use of computer based research and medical record documentation required. Use of computer based billing systems, and databases a plus
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. Current Ohio RN license. Demonstrates computer skills required to perform job functions Additional Information: Location: University Hospital - Doan Hall (0089) Position Type: Regular Scheduled Hours: 40
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procedures to solve basic problems considering computer equipment capacity and limitations, operating time, and form of desired results. Responsible for program design, coding, testing, debugging, and
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required. Proficient in the use of computer based research and medical record documentation required. Use of computer based billing systems, and databases a plus. Additional Information: Location: Ackerman
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personal computer and other office equipment required; a valid Ohio Driver's license desired. Requires successful completion of a background check. Selected candidate may be requested to complete a pre
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graduate or equivalent Successful completion of a Medical Assistant Training Program or Minimum 1-year total Medical Assisting experience, or Military Medic Training, or EMT-Paramedic Training 0-2 years
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capacity required, preferably in a university or academic medical center setting; quantitative skills preferred; computer skills with demonstrated ability to use technical applications such as word
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degree, Masters preferred. RN licensure required; two years recent clinical experience applicable to the population preferred; knowledge of clinical practice guidelines, computer data bases, and payer