2,160 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:" positions at University of Michigan
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., difference-in-differences, instrumental variables, propensity-score methods) and selected machine-learning algorithms. Write reproducible code in Stata, R, SAS, or Python; summarize and interpret results
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airway/breathing, heart rate, acute change in level of consciousness, seizure etc. Required qualifications. Effectively communicate with patients to obtain important clinical information, instruct
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interpersonal skills and customer relations Effective time management skills and ability to work with minimal supervision Competency in computer programs, telephone etiquette, and other office procedures Ability
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. Demonstrated interpersonal and problem solving skills. Multitasking ability essential. Ability to work with many details with accuracy. Data entry or computer experience necessary. Desired Qualifications
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discipline or a related field - Strong demonstrated verbal and written communication skills Desired Qualifications* - Familiarity with manufacturing systems and processes - Experience with machine learning and
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of a team. Demonstration of understanding of Medical Terminology. Exceptional organizational and computer skills in Microsoft software applications. Ability to work with minimal supervision while
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and take initiative, but able and willing to ask for assistance and advice when needed Advanced computer proficiency in Outlook, Microsoft Word, Excel, PowerPoint, Adobe, and the ability and willingness
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. Utilizes computer for basic functions as well as reference on patient conditions and treatment. Accurately assesses patient's/family's readiness to learn, organizes and executes individualized teaching plan
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responsibilities in a fast-paced environment Demonstrated effective problem-solving skills Demonstrated proficiency with computer skills, Microsoft Office software, Outlook and other applicable platforms Ability
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of design and fabrication of medical devices, 3D printing, microfluidics, mechanics of materials, biomaterials, blood-material interactions, computer aided design, and/or in vitro/in vivo evaluation