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of Clinical Pharmacy. The clinical and research program will focus on evaluating the implementation and program refinement of a novel Comprehensive Medication Management practice model for high cost, high
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development, and through leadership activities in Michigan, nationally and internationally. Our mission is guided by our Strategic Principles and has three critical components; patient care, education and
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to society. Required Qualifications* Bachelor's degree in computer science Ability to work independently as well as cooperatively with other team members Ability to assume responsibility, meet data deadlines
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-aided diagnosis, automated tumor localization, and personalized treatment recommendations. Our team aims to translate the latest advances in AI, machine learning, and computer science to improve
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possess strong interpersonal and communication skills. The ideal candidate will use their molecular biology and computational skills, as well as creativity to help us understand complex genomic data sets
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science research institution in the world. This interdisciplinary community includes researchers from sociology, anthropology, economics, psychology, information and computer science, statistics, geography
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Management Data Management and Informatics Leadership and Professionalism Communication and Teamwork Mission Statement Michigan Medicine improves the health of patients, populations and communities through
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Informatics Leadership and Professionalism Communication and Teamwork Supervision Received: This position receives direct supervision and reports directly to the unit Administrator, CRC-Lead, or CRC-Project
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, computational and statistical genetic and bioinformatic methods implementation; vascular biology research using in vitro and in vivo models of cardiovascular diseases, particularly those that disproportionately
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Statement Michigan Medicine improves the health of patients, populations and communities through excellence in education, patient care, community service, research and technology development, and through